Training in progress, epoch 1

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

added_tokens.json

@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

model-00001-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8850658efcdce14d07e27faa6e4672286efbaffc379cb386e2201b5df283456c
+size 4877660776

model-00002-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a46b0efc09f4738a57d36bdbc590512d670c968d584371955f8957f3a1eda00c
+size 4932751008

model-00003-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c2101a34847f77b156224fed71d1731c2724833715514e880914974a3e6d555
+size 4330865200

model-00004-of-00004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b470e915bae20523278edc54146a24cc29730520d2f8717a9e49990273e082e9
+size 1089994880

model.safetensors.index.json

@@ -0,0 +1,346 @@
+{
+  "metadata": {
+    "total_size": 15231233024
+  },
+  "weight_map": {
+    "lm_head.weight": "model-00004-of-00004.safetensors",
+    "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.norm.weight": "model-00003-of-00004.safetensors"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

tokenizer_config.json

@@ -0,0 +1,208 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

trainer_log.jsonl

@@ -0,0 +1,250 @@
+{"current_steps": 1, "total_steps": 1235, "loss": 0.7833, "lr": 3.2258064516129035e-07, "epoch": 0.004048582995951417, "percentage": 0.08, "elapsed_time": "0:00:55", "remaining_time": "19:02:18"}
+{"current_steps": 2, "total_steps": 1235, "loss": 0.7939, "lr": 6.451612903225807e-07, "epoch": 0.008097165991902834, "percentage": 0.16, "elapsed_time": "0:01:43", "remaining_time": "17:44:16"}
+{"current_steps": 3, "total_steps": 1235, "loss": 0.784, "lr": 9.67741935483871e-07, "epoch": 0.012145748987854251, "percentage": 0.24, "elapsed_time": "0:02:31", "remaining_time": "17:15:37"}
+{"current_steps": 4, "total_steps": 1235, "loss": 0.8165, "lr": 1.2903225806451614e-06, "epoch": 0.016194331983805668, "percentage": 0.32, "elapsed_time": "0:03:16", "remaining_time": "16:49:22"}
+{"current_steps": 5, "total_steps": 1235, "loss": 0.7751, "lr": 1.6129032258064516e-06, "epoch": 0.020242914979757085, "percentage": 0.4, "elapsed_time": "0:04:05", "remaining_time": "16:48:10"}
+{"current_steps": 6, "total_steps": 1235, "loss": 0.7972, "lr": 1.935483870967742e-06, "epoch": 0.024291497975708502, "percentage": 0.49, "elapsed_time": "0:04:53", "remaining_time": "16:42:38"}
+{"current_steps": 7, "total_steps": 1235, "loss": 0.7519, "lr": 2.2580645161290324e-06, "epoch": 0.02834008097165992, "percentage": 0.57, "elapsed_time": "0:05:42", "remaining_time": "16:41:10"}
+{"current_steps": 8, "total_steps": 1235, "loss": 0.753, "lr": 2.580645161290323e-06, "epoch": 0.032388663967611336, "percentage": 0.65, "elapsed_time": "0:06:30", "remaining_time": "16:38:31"}
+{"current_steps": 9, "total_steps": 1235, "loss": 0.7252, "lr": 2.903225806451613e-06, "epoch": 0.03643724696356275, "percentage": 0.73, "elapsed_time": "0:07:17", "remaining_time": "16:33:01"}
+{"current_steps": 10, "total_steps": 1235, "loss": 0.7138, "lr": 3.225806451612903e-06, "epoch": 0.04048582995951417, "percentage": 0.81, "elapsed_time": "0:08:05", "remaining_time": "16:31:01"}
+{"current_steps": 11, "total_steps": 1235, "loss": 0.7221, "lr": 3.548387096774194e-06, "epoch": 0.044534412955465584, "percentage": 0.89, "elapsed_time": "0:08:53", "remaining_time": "16:29:50"}
+{"current_steps": 12, "total_steps": 1235, "loss": 0.7027, "lr": 3.870967741935484e-06, "epoch": 0.048582995951417005, "percentage": 0.97, "elapsed_time": "0:09:40", "remaining_time": "16:26:40"}
+{"current_steps": 13, "total_steps": 1235, "loss": 0.6908, "lr": 4.193548387096774e-06, "epoch": 0.05263157894736842, "percentage": 1.05, "elapsed_time": "0:10:29", "remaining_time": "16:25:54"}
+{"current_steps": 14, "total_steps": 1235, "loss": 0.7044, "lr": 4.516129032258065e-06, "epoch": 0.05668016194331984, "percentage": 1.13, "elapsed_time": "0:11:17", "remaining_time": "16:24:07"}
+{"current_steps": 15, "total_steps": 1235, "loss": 0.7081, "lr": 4.838709677419355e-06, "epoch": 0.06072874493927125, "percentage": 1.21, "elapsed_time": "0:12:05", "remaining_time": "16:23:57"}
+{"current_steps": 16, "total_steps": 1235, "loss": 0.6657, "lr": 5.161290322580646e-06, "epoch": 0.06477732793522267, "percentage": 1.3, "elapsed_time": "0:12:52", "remaining_time": "16:21:05"}
+{"current_steps": 17, "total_steps": 1235, "loss": 0.6348, "lr": 5.483870967741935e-06, "epoch": 0.06882591093117409, "percentage": 1.38, "elapsed_time": "0:13:42", "remaining_time": "16:21:53"}
+{"current_steps": 18, "total_steps": 1235, "loss": 0.6357, "lr": 5.806451612903226e-06, "epoch": 0.0728744939271255, "percentage": 1.46, "elapsed_time": "0:14:27", "remaining_time": "16:17:26"}
+{"current_steps": 19, "total_steps": 1235, "loss": 0.6443, "lr": 6.129032258064517e-06, "epoch": 0.07692307692307693, "percentage": 1.54, "elapsed_time": "0:15:15", "remaining_time": "16:16:20"}
+{"current_steps": 20, "total_steps": 1235, "loss": 0.6179, "lr": 6.451612903225806e-06, "epoch": 0.08097165991902834, "percentage": 1.62, "elapsed_time": "0:16:01", "remaining_time": "16:13:56"}
+{"current_steps": 21, "total_steps": 1235, "loss": 0.6136, "lr": 6.774193548387097e-06, "epoch": 0.08502024291497975, "percentage": 1.7, "elapsed_time": "0:16:51", "remaining_time": "16:14:27"}
+{"current_steps": 22, "total_steps": 1235, "loss": 0.6081, "lr": 7.096774193548388e-06, "epoch": 0.08906882591093117, "percentage": 1.78, "elapsed_time": "0:17:42", "remaining_time": "16:16:15"}
+{"current_steps": 23, "total_steps": 1235, "loss": 0.5864, "lr": 7.4193548387096784e-06, "epoch": 0.0931174089068826, "percentage": 1.86, "elapsed_time": "0:18:31", "remaining_time": "16:15:45"}
+{"current_steps": 24, "total_steps": 1235, "loss": 0.5977, "lr": 7.741935483870968e-06, "epoch": 0.09716599190283401, "percentage": 1.94, "elapsed_time": "0:19:20", "remaining_time": "16:16:06"}
+{"current_steps": 25, "total_steps": 1235, "loss": 0.5808, "lr": 8.064516129032258e-06, "epoch": 0.10121457489878542, "percentage": 2.02, "elapsed_time": "0:20:08", "remaining_time": "16:14:56"}
+{"current_steps": 26, "total_steps": 1235, "loss": 0.5873, "lr": 8.387096774193549e-06, "epoch": 0.10526315789473684, "percentage": 2.11, "elapsed_time": "0:20:56", "remaining_time": "16:13:26"}
+{"current_steps": 27, "total_steps": 1235, "loss": 0.5587, "lr": 8.70967741935484e-06, "epoch": 0.10931174089068826, "percentage": 2.19, "elapsed_time": "0:21:43", "remaining_time": "16:12:07"}
+{"current_steps": 28, "total_steps": 1235, "loss": 0.5663, "lr": 9.03225806451613e-06, "epoch": 0.11336032388663968, "percentage": 2.27, "elapsed_time": "0:22:30", "remaining_time": "16:10:18"}
+{"current_steps": 29, "total_steps": 1235, "loss": 0.5675, "lr": 9.35483870967742e-06, "epoch": 0.11740890688259109, "percentage": 2.35, "elapsed_time": "0:23:17", "remaining_time": "16:08:33"}
+{"current_steps": 30, "total_steps": 1235, "loss": 0.5333, "lr": 9.67741935483871e-06, "epoch": 0.1214574898785425, "percentage": 2.43, "elapsed_time": "0:24:04", "remaining_time": "16:06:49"}
+{"current_steps": 31, "total_steps": 1235, "loss": 0.5455, "lr": 1e-05, "epoch": 0.12550607287449392, "percentage": 2.51, "elapsed_time": "0:24:53", "remaining_time": "16:06:56"}
+{"current_steps": 32, "total_steps": 1235, "loss": 0.5448, "lr": 1.0322580645161291e-05, "epoch": 0.12955465587044535, "percentage": 2.59, "elapsed_time": "0:25:42", "remaining_time": "16:06:26"}
+{"current_steps": 33, "total_steps": 1235, "loss": 0.5343, "lr": 1.0645161290322582e-05, "epoch": 0.13360323886639677, "percentage": 2.67, "elapsed_time": "0:26:30", "remaining_time": "16:05:18"}
+{"current_steps": 34, "total_steps": 1235, "loss": 0.5469, "lr": 1.096774193548387e-05, "epoch": 0.13765182186234817, "percentage": 2.75, "elapsed_time": "0:27:17", "remaining_time": "16:03:46"}
+{"current_steps": 35, "total_steps": 1235, "loss": 0.5255, "lr": 1.1290322580645164e-05, "epoch": 0.1417004048582996, "percentage": 2.83, "elapsed_time": "0:28:03", "remaining_time": "16:02:14"}
+{"current_steps": 36, "total_steps": 1235, "loss": 0.5383, "lr": 1.1612903225806453e-05, "epoch": 0.145748987854251, "percentage": 2.91, "elapsed_time": "0:28:50", "remaining_time": "16:00:47"}
+{"current_steps": 37, "total_steps": 1235, "loss": 0.5354, "lr": 1.1935483870967743e-05, "epoch": 0.14979757085020243, "percentage": 3.0, "elapsed_time": "0:29:37", "remaining_time": "15:59:27"}
+{"current_steps": 38, "total_steps": 1235, "loss": 0.5271, "lr": 1.2258064516129034e-05, "epoch": 0.15384615384615385, "percentage": 3.08, "elapsed_time": "0:30:25", "remaining_time": "15:58:09"}
+{"current_steps": 39, "total_steps": 1235, "loss": 0.534, "lr": 1.2580645161290324e-05, "epoch": 0.15789473684210525, "percentage": 3.16, "elapsed_time": "0:31:12", "remaining_time": "15:57:03"}
+{"current_steps": 40, "total_steps": 1235, "loss": 0.5161, "lr": 1.2903225806451613e-05, "epoch": 0.16194331983805668, "percentage": 3.24, "elapsed_time": "0:32:00", "remaining_time": "15:56:04"}
+{"current_steps": 41, "total_steps": 1235, "loss": 0.5148, "lr": 1.3225806451612903e-05, "epoch": 0.1659919028340081, "percentage": 3.32, "elapsed_time": "0:32:46", "remaining_time": "15:54:23"}
+{"current_steps": 42, "total_steps": 1235, "loss": 0.4985, "lr": 1.3548387096774194e-05, "epoch": 0.1700404858299595, "percentage": 3.4, "elapsed_time": "0:33:32", "remaining_time": "15:52:57"}
+{"current_steps": 43, "total_steps": 1235, "loss": 0.4984, "lr": 1.3870967741935486e-05, "epoch": 0.17408906882591094, "percentage": 3.48, "elapsed_time": "0:34:21", "remaining_time": "15:52:37"}
+{"current_steps": 44, "total_steps": 1235, "loss": 0.5211, "lr": 1.4193548387096776e-05, "epoch": 0.17813765182186234, "percentage": 3.56, "elapsed_time": "0:35:09", "remaining_time": "15:51:44"}
+{"current_steps": 45, "total_steps": 1235, "loss": 0.5123, "lr": 1.4516129032258066e-05, "epoch": 0.18218623481781376, "percentage": 3.64, "elapsed_time": "0:35:57", "remaining_time": "15:50:58"}
+{"current_steps": 46, "total_steps": 1235, "loss": 0.5224, "lr": 1.4838709677419357e-05, "epoch": 0.1862348178137652, "percentage": 3.72, "elapsed_time": "0:36:44", "remaining_time": "15:49:37"}
+{"current_steps": 47, "total_steps": 1235, "loss": 0.5113, "lr": 1.5161290322580646e-05, "epoch": 0.1902834008097166, "percentage": 3.81, "elapsed_time": "0:37:32", "remaining_time": "15:48:57"}
+{"current_steps": 48, "total_steps": 1235, "loss": 0.5021, "lr": 1.5483870967741936e-05, "epoch": 0.19433198380566802, "percentage": 3.89, "elapsed_time": "0:38:19", "remaining_time": "15:47:56"}
+{"current_steps": 49, "total_steps": 1235, "loss": 0.4937, "lr": 1.5806451612903226e-05, "epoch": 0.19838056680161945, "percentage": 3.97, "elapsed_time": "0:39:07", "remaining_time": "15:46:53"}
+{"current_steps": 50, "total_steps": 1235, "loss": 0.5159, "lr": 1.6129032258064517e-05, "epoch": 0.20242914979757085, "percentage": 4.05, "elapsed_time": "0:39:54", "remaining_time": "15:45:51"}
+{"current_steps": 51, "total_steps": 1235, "loss": 0.4888, "lr": 1.6451612903225807e-05, "epoch": 0.20647773279352227, "percentage": 4.13, "elapsed_time": "0:40:41", "remaining_time": "15:44:49"}
+{"current_steps": 52, "total_steps": 1235, "loss": 0.4974, "lr": 1.6774193548387098e-05, "epoch": 0.21052631578947367, "percentage": 4.21, "elapsed_time": "0:41:30", "remaining_time": "15:44:11"}
+{"current_steps": 53, "total_steps": 1235, "loss": 0.4821, "lr": 1.7096774193548388e-05, "epoch": 0.2145748987854251, "percentage": 4.29, "elapsed_time": "0:42:17", "remaining_time": "15:43:05"}
+{"current_steps": 54, "total_steps": 1235, "loss": 0.5031, "lr": 1.741935483870968e-05, "epoch": 0.21862348178137653, "percentage": 4.37, "elapsed_time": "0:43:05", "remaining_time": "15:42:17"}
+{"current_steps": 55, "total_steps": 1235, "loss": 0.4856, "lr": 1.774193548387097e-05, "epoch": 0.22267206477732793, "percentage": 4.45, "elapsed_time": "0:43:52", "remaining_time": "15:41:22"}
+{"current_steps": 56, "total_steps": 1235, "loss": 0.4909, "lr": 1.806451612903226e-05, "epoch": 0.22672064777327935, "percentage": 4.53, "elapsed_time": "0:44:38", "remaining_time": "15:39:44"}
+{"current_steps": 57, "total_steps": 1235, "loss": 0.5159, "lr": 1.838709677419355e-05, "epoch": 0.23076923076923078, "percentage": 4.62, "elapsed_time": "0:45:25", "remaining_time": "15:38:47"}
+{"current_steps": 58, "total_steps": 1235, "loss": 0.4866, "lr": 1.870967741935484e-05, "epoch": 0.23481781376518218, "percentage": 4.7, "elapsed_time": "0:46:13", "remaining_time": "15:37:59"}
+{"current_steps": 59, "total_steps": 1235, "loss": 0.491, "lr": 1.903225806451613e-05, "epoch": 0.2388663967611336, "percentage": 4.78, "elapsed_time": "0:47:00", "remaining_time": "15:37:04"}
+{"current_steps": 60, "total_steps": 1235, "loss": 0.47, "lr": 1.935483870967742e-05, "epoch": 0.242914979757085, "percentage": 4.86, "elapsed_time": "0:47:48", "remaining_time": "15:36:17"}
+{"current_steps": 61, "total_steps": 1235, "loss": 0.4779, "lr": 1.967741935483871e-05, "epoch": 0.24696356275303644, "percentage": 4.94, "elapsed_time": "0:48:37", "remaining_time": "15:35:44"}
+{"current_steps": 62, "total_steps": 1235, "loss": 0.5026, "lr": 2e-05, "epoch": 0.25101214574898784, "percentage": 5.02, "elapsed_time": "0:49:25", "remaining_time": "15:35:12"}
+{"current_steps": 63, "total_steps": 1235, "loss": 0.4838, "lr": 2.0322580645161292e-05, "epoch": 0.2550607287449393, "percentage": 5.1, "elapsed_time": "0:50:13", "remaining_time": "15:34:26"}
+{"current_steps": 64, "total_steps": 1235, "loss": 0.4831, "lr": 2.0645161290322582e-05, "epoch": 0.2591093117408907, "percentage": 5.18, "elapsed_time": "0:50:59", "remaining_time": "15:33:05"}
+{"current_steps": 65, "total_steps": 1235, "loss": 0.4931, "lr": 2.0967741935483873e-05, "epoch": 0.2631578947368421, "percentage": 5.26, "elapsed_time": "0:51:47", "remaining_time": "15:32:22"}
+{"current_steps": 66, "total_steps": 1235, "loss": 0.4795, "lr": 2.1290322580645163e-05, "epoch": 0.26720647773279355, "percentage": 5.34, "elapsed_time": "0:52:35", "remaining_time": "15:31:25"}
+{"current_steps": 67, "total_steps": 1235, "loss": 0.4648, "lr": 2.161290322580645e-05, "epoch": 0.27125506072874495, "percentage": 5.43, "elapsed_time": "0:53:21", "remaining_time": "15:30:17"}
+{"current_steps": 68, "total_steps": 1235, "loss": 0.4998, "lr": 2.193548387096774e-05, "epoch": 0.27530364372469635, "percentage": 5.51, "elapsed_time": "0:54:10", "remaining_time": "15:29:36"}
+{"current_steps": 69, "total_steps": 1235, "loss": 0.4909, "lr": 2.225806451612903e-05, "epoch": 0.2793522267206478, "percentage": 5.59, "elapsed_time": "0:54:56", "remaining_time": "15:28:20"}
+{"current_steps": 70, "total_steps": 1235, "loss": 0.4881, "lr": 2.2580645161290328e-05, "epoch": 0.2834008097165992, "percentage": 5.67, "elapsed_time": "0:55:43", "remaining_time": "15:27:19"}
+{"current_steps": 71, "total_steps": 1235, "loss": 0.4884, "lr": 2.2903225806451615e-05, "epoch": 0.2874493927125506, "percentage": 5.75, "elapsed_time": "0:56:28", "remaining_time": "15:25:48"}
+{"current_steps": 72, "total_steps": 1235, "loss": 0.48, "lr": 2.3225806451612906e-05, "epoch": 0.291497975708502, "percentage": 5.83, "elapsed_time": "0:57:14", "remaining_time": "15:24:41"}
+{"current_steps": 73, "total_steps": 1235, "loss": 0.4821, "lr": 2.3548387096774196e-05, "epoch": 0.29554655870445345, "percentage": 5.91, "elapsed_time": "0:58:01", "remaining_time": "15:23:34"}
+{"current_steps": 74, "total_steps": 1235, "loss": 0.4832, "lr": 2.3870967741935486e-05, "epoch": 0.29959514170040485, "percentage": 5.99, "elapsed_time": "0:58:47", "remaining_time": "15:22:21"}
+{"current_steps": 75, "total_steps": 1235, "loss": 0.4945, "lr": 2.4193548387096777e-05, "epoch": 0.30364372469635625, "percentage": 6.07, "elapsed_time": "0:59:35", "remaining_time": "15:21:34"}
+{"current_steps": 76, "total_steps": 1235, "loss": 0.4698, "lr": 2.4516129032258067e-05, "epoch": 0.3076923076923077, "percentage": 6.15, "elapsed_time": "1:00:20", "remaining_time": "15:20:18"}
+{"current_steps": 77, "total_steps": 1235, "loss": 0.4712, "lr": 2.4838709677419358e-05, "epoch": 0.3117408906882591, "percentage": 6.23, "elapsed_time": "1:01:08", "remaining_time": "15:19:33"}
+{"current_steps": 78, "total_steps": 1235, "loss": 0.4679, "lr": 2.5161290322580648e-05, "epoch": 0.3157894736842105, "percentage": 6.32, "elapsed_time": "1:01:55", "remaining_time": "15:18:37"}
+{"current_steps": 79, "total_steps": 1235, "loss": 0.4748, "lr": 2.548387096774194e-05, "epoch": 0.31983805668016196, "percentage": 6.4, "elapsed_time": "1:02:42", "remaining_time": "15:17:41"}
+{"current_steps": 80, "total_steps": 1235, "loss": 0.4769, "lr": 2.5806451612903226e-05, "epoch": 0.32388663967611336, "percentage": 6.48, "elapsed_time": "1:03:29", "remaining_time": "15:16:42"}
+{"current_steps": 81, "total_steps": 1235, "loss": 0.4687, "lr": 2.6129032258064516e-05, "epoch": 0.32793522267206476, "percentage": 6.56, "elapsed_time": "1:04:18", "remaining_time": "15:16:10"}
+{"current_steps": 82, "total_steps": 1235, "loss": 0.459, "lr": 2.6451612903225806e-05, "epoch": 0.3319838056680162, "percentage": 6.64, "elapsed_time": "1:05:03", "remaining_time": "15:14:42"}
+{"current_steps": 83, "total_steps": 1235, "loss": 0.4737, "lr": 2.6774193548387097e-05, "epoch": 0.3360323886639676, "percentage": 6.72, "elapsed_time": "1:05:52", "remaining_time": "15:14:21"}
+{"current_steps": 84, "total_steps": 1235, "loss": 0.4653, "lr": 2.7096774193548387e-05, "epoch": 0.340080971659919, "percentage": 6.8, "elapsed_time": "1:06:38", "remaining_time": "15:13:15"}
+{"current_steps": 85, "total_steps": 1235, "loss": 0.4681, "lr": 2.7419354838709678e-05, "epoch": 0.3441295546558704, "percentage": 6.88, "elapsed_time": "1:07:25", "remaining_time": "15:12:13"}
+{"current_steps": 86, "total_steps": 1235, "loss": 0.4654, "lr": 2.774193548387097e-05, "epoch": 0.3481781376518219, "percentage": 6.96, "elapsed_time": "1:08:11", "remaining_time": "15:11:08"}
+{"current_steps": 87, "total_steps": 1235, "loss": 0.4691, "lr": 2.8064516129032262e-05, "epoch": 0.3522267206477733, "percentage": 7.04, "elapsed_time": "1:09:00", "remaining_time": "15:10:29"}
+{"current_steps": 88, "total_steps": 1235, "loss": 0.4656, "lr": 2.8387096774193552e-05, "epoch": 0.3562753036437247, "percentage": 7.13, "elapsed_time": "1:09:46", "remaining_time": "15:09:32"}
+{"current_steps": 89, "total_steps": 1235, "loss": 0.4675, "lr": 2.8709677419354843e-05, "epoch": 0.3603238866396761, "percentage": 7.21, "elapsed_time": "1:10:34", "remaining_time": "15:08:44"}
+{"current_steps": 90, "total_steps": 1235, "loss": 0.4807, "lr": 2.9032258064516133e-05, "epoch": 0.3643724696356275, "percentage": 7.29, "elapsed_time": "1:11:22", "remaining_time": "15:08:07"}
+{"current_steps": 91, "total_steps": 1235, "loss": 0.4729, "lr": 2.9354838709677423e-05, "epoch": 0.3684210526315789, "percentage": 7.37, "elapsed_time": "1:12:10", "remaining_time": "15:07:24"}
+{"current_steps": 92, "total_steps": 1235, "loss": 0.4667, "lr": 2.9677419354838714e-05, "epoch": 0.3724696356275304, "percentage": 7.45, "elapsed_time": "1:12:57", "remaining_time": "15:06:22"}
+{"current_steps": 93, "total_steps": 1235, "loss": 0.4648, "lr": 3.0000000000000004e-05, "epoch": 0.3765182186234818, "percentage": 7.53, "elapsed_time": "1:13:43", "remaining_time": "15:05:19"}
+{"current_steps": 94, "total_steps": 1235, "loss": 0.4889, "lr": 3.032258064516129e-05, "epoch": 0.3805668016194332, "percentage": 7.61, "elapsed_time": "1:14:31", "remaining_time": "15:04:35"}
+{"current_steps": 95, "total_steps": 1235, "loss": 0.4758, "lr": 3.0645161290322585e-05, "epoch": 0.38461538461538464, "percentage": 7.69, "elapsed_time": "1:15:18", "remaining_time": "15:03:47"}
+{"current_steps": 96, "total_steps": 1235, "loss": 0.4736, "lr": 3.096774193548387e-05, "epoch": 0.38866396761133604, "percentage": 7.77, "elapsed_time": "1:16:05", "remaining_time": "15:02:52"}
+{"current_steps": 97, "total_steps": 1235, "loss": 0.4547, "lr": 3.1290322580645166e-05, "epoch": 0.39271255060728744, "percentage": 7.85, "elapsed_time": "1:16:52", "remaining_time": "15:01:52"}
+{"current_steps": 98, "total_steps": 1235, "loss": 0.4494, "lr": 3.161290322580645e-05, "epoch": 0.3967611336032389, "percentage": 7.94, "elapsed_time": "1:17:38", "remaining_time": "15:00:45"}
+{"current_steps": 99, "total_steps": 1235, "loss": 0.4564, "lr": 3.193548387096774e-05, "epoch": 0.4008097165991903, "percentage": 8.02, "elapsed_time": "1:18:27", "remaining_time": "15:00:14"}
+{"current_steps": 100, "total_steps": 1235, "loss": 0.4708, "lr": 3.2258064516129034e-05, "epoch": 0.4048582995951417, "percentage": 8.1, "elapsed_time": "1:19:15", "remaining_time": "14:59:36"}
+{"current_steps": 101, "total_steps": 1235, "loss": 0.4753, "lr": 3.258064516129033e-05, "epoch": 0.4089068825910931, "percentage": 8.18, "elapsed_time": "1:20:02", "remaining_time": "14:58:44"}
+{"current_steps": 102, "total_steps": 1235, "loss": 0.4642, "lr": 3.2903225806451614e-05, "epoch": 0.41295546558704455, "percentage": 8.26, "elapsed_time": "1:20:51", "remaining_time": "14:58:12"}
+{"current_steps": 103, "total_steps": 1235, "loss": 0.4676, "lr": 3.322580645161291e-05, "epoch": 0.41700404858299595, "percentage": 8.34, "elapsed_time": "1:21:40", "remaining_time": "14:57:32"}
+{"current_steps": 104, "total_steps": 1235, "loss": 0.4658, "lr": 3.3548387096774195e-05, "epoch": 0.42105263157894735, "percentage": 8.42, "elapsed_time": "1:22:27", "remaining_time": "14:56:42"}
+{"current_steps": 105, "total_steps": 1235, "loss": 0.4662, "lr": 3.387096774193549e-05, "epoch": 0.4251012145748988, "percentage": 8.5, "elapsed_time": "1:23:16", "remaining_time": "14:56:09"}
+{"current_steps": 106, "total_steps": 1235, "loss": 0.4708, "lr": 3.4193548387096776e-05, "epoch": 0.4291497975708502, "percentage": 8.58, "elapsed_time": "1:24:02", "remaining_time": "14:55:08"}
+{"current_steps": 107, "total_steps": 1235, "loss": 0.4647, "lr": 3.451612903225807e-05, "epoch": 0.4331983805668016, "percentage": 8.66, "elapsed_time": "1:24:51", "remaining_time": "14:54:34"}
+{"current_steps": 108, "total_steps": 1235, "loss": 0.4612, "lr": 3.483870967741936e-05, "epoch": 0.43724696356275305, "percentage": 8.74, "elapsed_time": "1:25:39", "remaining_time": "14:53:49"}
+{"current_steps": 109, "total_steps": 1235, "loss": 0.468, "lr": 3.516129032258065e-05, "epoch": 0.44129554655870445, "percentage": 8.83, "elapsed_time": "1:26:26", "remaining_time": "14:53:02"}
+{"current_steps": 110, "total_steps": 1235, "loss": 0.4556, "lr": 3.548387096774194e-05, "epoch": 0.44534412955465585, "percentage": 8.91, "elapsed_time": "1:27:14", "remaining_time": "14:52:18"}
+{"current_steps": 111, "total_steps": 1235, "loss": 0.4433, "lr": 3.5806451612903225e-05, "epoch": 0.4493927125506073, "percentage": 8.99, "elapsed_time": "1:28:02", "remaining_time": "14:51:32"}
+{"current_steps": 112, "total_steps": 1235, "loss": 0.464, "lr": 3.612903225806452e-05, "epoch": 0.4534412955465587, "percentage": 9.07, "elapsed_time": "1:28:50", "remaining_time": "14:50:50"}
+{"current_steps": 113, "total_steps": 1235, "loss": 0.4629, "lr": 3.6451612903225805e-05, "epoch": 0.4574898785425101, "percentage": 9.15, "elapsed_time": "1:29:39", "remaining_time": "14:50:17"}
+{"current_steps": 114, "total_steps": 1235, "loss": 0.4675, "lr": 3.67741935483871e-05, "epoch": 0.46153846153846156, "percentage": 9.23, "elapsed_time": "1:30:24", "remaining_time": "14:48:58"}
+{"current_steps": 115, "total_steps": 1235, "loss": 0.4664, "lr": 3.7096774193548386e-05, "epoch": 0.46558704453441296, "percentage": 9.31, "elapsed_time": "1:31:13", "remaining_time": "14:48:23"}
+{"current_steps": 116, "total_steps": 1235, "loss": 0.4507, "lr": 3.741935483870968e-05, "epoch": 0.46963562753036436, "percentage": 9.39, "elapsed_time": "1:32:01", "remaining_time": "14:47:43"}
+{"current_steps": 117, "total_steps": 1235, "loss": 0.452, "lr": 3.7741935483870974e-05, "epoch": 0.47368421052631576, "percentage": 9.47, "elapsed_time": "1:32:46", "remaining_time": "14:46:33"}
+{"current_steps": 118, "total_steps": 1235, "loss": 0.4541, "lr": 3.806451612903226e-05, "epoch": 0.4777327935222672, "percentage": 9.55, "elapsed_time": "1:33:31", "remaining_time": "14:45:20"}
+{"current_steps": 119, "total_steps": 1235, "loss": 0.4451, "lr": 3.8387096774193555e-05, "epoch": 0.4817813765182186, "percentage": 9.64, "elapsed_time": "1:34:18", "remaining_time": "14:44:30"}
+{"current_steps": 120, "total_steps": 1235, "loss": 0.4483, "lr": 3.870967741935484e-05, "epoch": 0.48582995951417, "percentage": 9.72, "elapsed_time": "1:35:07", "remaining_time": "14:43:55"}
+{"current_steps": 121, "total_steps": 1235, "loss": 0.468, "lr": 3.9032258064516135e-05, "epoch": 0.4898785425101215, "percentage": 9.8, "elapsed_time": "1:35:55", "remaining_time": "14:43:05"}
+{"current_steps": 122, "total_steps": 1235, "loss": 0.4528, "lr": 3.935483870967742e-05, "epoch": 0.4939271255060729, "percentage": 9.88, "elapsed_time": "1:36:43", "remaining_time": "14:42:23"}
+{"current_steps": 123, "total_steps": 1235, "loss": 0.4505, "lr": 3.9677419354838716e-05, "epoch": 0.4979757085020243, "percentage": 9.96, "elapsed_time": "1:37:30", "remaining_time": "14:41:30"}
+{"current_steps": 124, "total_steps": 1235, "loss": 0.4701, "lr": 4e-05, "epoch": 0.5020242914979757, "percentage": 10.04, "elapsed_time": "1:38:18", "remaining_time": "14:40:48"}
+{"current_steps": 125, "total_steps": 1235, "loss": 0.456, "lr": 3.9999920040266474e-05, "epoch": 0.5060728744939271, "percentage": 10.12, "elapsed_time": "1:39:03", "remaining_time": "14:39:37"}
+{"current_steps": 126, "total_steps": 1235, "loss": 0.4653, "lr": 3.999968016170525e-05, "epoch": 0.5101214574898786, "percentage": 10.2, "elapsed_time": "1:39:50", "remaining_time": "14:38:41"}
+{"current_steps": 127, "total_steps": 1235, "loss": 0.4568, "lr": 3.9999280366234394e-05, "epoch": 0.5141700404858299, "percentage": 10.28, "elapsed_time": "1:40:37", "remaining_time": "14:37:49"}
+{"current_steps": 128, "total_steps": 1235, "loss": 0.4508, "lr": 3.999872065705065e-05, "epoch": 0.5182186234817814, "percentage": 10.36, "elapsed_time": "1:41:26", "remaining_time": "14:37:22"}
+{"current_steps": 129, "total_steps": 1235, "loss": 0.4588, "lr": 3.999800103862945e-05, "epoch": 0.5222672064777328, "percentage": 10.45, "elapsed_time": "1:42:14", "remaining_time": "14:36:38"}
+{"current_steps": 130, "total_steps": 1235, "loss": 0.4383, "lr": 3.9997121516724834e-05, "epoch": 0.5263157894736842, "percentage": 10.53, "elapsed_time": "1:43:03", "remaining_time": "14:35:57"}
+{"current_steps": 131, "total_steps": 1235, "loss": 0.4584, "lr": 3.999608209836944e-05, "epoch": 0.5303643724696356, "percentage": 10.61, "elapsed_time": "1:43:49", "remaining_time": "14:34:55"}
+{"current_steps": 132, "total_steps": 1235, "loss": 0.4573, "lr": 3.999488279187443e-05, "epoch": 0.5344129554655871, "percentage": 10.69, "elapsed_time": "1:44:37", "remaining_time": "14:34:14"}
+{"current_steps": 133, "total_steps": 1235, "loss": 0.4603, "lr": 3.9993523606829425e-05, "epoch": 0.5384615384615384, "percentage": 10.77, "elapsed_time": "1:45:24", "remaining_time": "14:33:26"}
+{"current_steps": 134, "total_steps": 1235, "loss": 0.4558, "lr": 3.9992004554102435e-05, "epoch": 0.5425101214574899, "percentage": 10.85, "elapsed_time": "1:46:12", "remaining_time": "14:32:35"}
+{"current_steps": 135, "total_steps": 1235, "loss": 0.4605, "lr": 3.999032564583976e-05, "epoch": 0.5465587044534413, "percentage": 10.93, "elapsed_time": "1:47:00", "remaining_time": "14:31:54"}
+{"current_steps": 136, "total_steps": 1235, "loss": 0.4572, "lr": 3.998848689546591e-05, "epoch": 0.5506072874493927, "percentage": 11.01, "elapsed_time": "1:47:49", "remaining_time": "14:31:15"}
+{"current_steps": 137, "total_steps": 1235, "loss": 0.4389, "lr": 3.9986488317683496e-05, "epoch": 0.5546558704453441, "percentage": 11.09, "elapsed_time": "1:48:37", "remaining_time": "14:30:35"}
+{"current_steps": 138, "total_steps": 1235, "loss": 0.4574, "lr": 3.9984329928473067e-05, "epoch": 0.5587044534412956, "percentage": 11.17, "elapsed_time": "1:49:26", "remaining_time": "14:29:58"}
+{"current_steps": 139, "total_steps": 1235, "loss": 0.4413, "lr": 3.998201174509306e-05, "epoch": 0.562753036437247, "percentage": 11.26, "elapsed_time": "1:50:13", "remaining_time": "14:29:07"}
+{"current_steps": 140, "total_steps": 1235, "loss": 0.4539, "lr": 3.997953378607961e-05, "epoch": 0.5668016194331984, "percentage": 11.34, "elapsed_time": "1:51:00", "remaining_time": "14:28:14"}
+{"current_steps": 141, "total_steps": 1235, "loss": 0.4562, "lr": 3.9976896071246403e-05, "epoch": 0.5708502024291497, "percentage": 11.42, "elapsed_time": "1:51:48", "remaining_time": "14:27:26"}
+{"current_steps": 142, "total_steps": 1235, "loss": 0.4524, "lr": 3.997409862168454e-05, "epoch": 0.5748987854251012, "percentage": 11.5, "elapsed_time": "1:52:37", "remaining_time": "14:26:52"}
+{"current_steps": 143, "total_steps": 1235, "loss": 0.4658, "lr": 3.997114145976237e-05, "epoch": 0.5789473684210527, "percentage": 11.58, "elapsed_time": "1:53:26", "remaining_time": "14:26:14"}
+{"current_steps": 144, "total_steps": 1235, "loss": 0.4586, "lr": 3.9968024609125245e-05, "epoch": 0.582995951417004, "percentage": 11.66, "elapsed_time": "1:54:12", "remaining_time": "14:25:19"}
+{"current_steps": 145, "total_steps": 1235, "loss": 0.4514, "lr": 3.996474809469545e-05, "epoch": 0.5870445344129555, "percentage": 11.74, "elapsed_time": "1:55:02", "remaining_time": "14:24:48"}
+{"current_steps": 146, "total_steps": 1235, "loss": 0.4576, "lr": 3.996131194267189e-05, "epoch": 0.5910931174089069, "percentage": 11.82, "elapsed_time": "1:55:50", "remaining_time": "14:24:02"}
+{"current_steps": 147, "total_steps": 1235, "loss": 0.4446, "lr": 3.995771618052995e-05, "epoch": 0.5951417004048583, "percentage": 11.9, "elapsed_time": "1:56:37", "remaining_time": "14:23:10"}
+{"current_steps": 148, "total_steps": 1235, "loss": 0.4453, "lr": 3.9953960837021256e-05, "epoch": 0.5991902834008097, "percentage": 11.98, "elapsed_time": "1:57:25", "remaining_time": "14:22:23"}
+{"current_steps": 149, "total_steps": 1235, "loss": 0.4482, "lr": 3.995004594217343e-05, "epoch": 0.6032388663967612, "percentage": 12.06, "elapsed_time": "1:58:11", "remaining_time": "14:21:26"}
+{"current_steps": 150, "total_steps": 1235, "loss": 0.4496, "lr": 3.994597152728987e-05, "epoch": 0.6072874493927125, "percentage": 12.15, "elapsed_time": "1:58:59", "remaining_time": "14:20:42"}
+{"current_steps": 151, "total_steps": 1235, "loss": 0.4491, "lr": 3.994173762494947e-05, "epoch": 0.611336032388664, "percentage": 12.23, "elapsed_time": "1:59:47", "remaining_time": "14:19:57"}
+{"current_steps": 152, "total_steps": 1235, "loss": 0.4526, "lr": 3.9937344269006424e-05, "epoch": 0.6153846153846154, "percentage": 12.31, "elapsed_time": "2:00:33", "remaining_time": "14:18:57"}
+{"current_steps": 153, "total_steps": 1235, "loss": 0.4426, "lr": 3.993279149458988e-05, "epoch": 0.6194331983805668, "percentage": 12.39, "elapsed_time": "2:01:21", "remaining_time": "14:18:11"}
+{"current_steps": 154, "total_steps": 1235, "loss": 0.4617, "lr": 3.9928079338103695e-05, "epoch": 0.6234817813765182, "percentage": 12.47, "elapsed_time": "2:02:09", "remaining_time": "14:17:28"}
+{"current_steps": 155, "total_steps": 1235, "loss": 0.4398, "lr": 3.992320783722616e-05, "epoch": 0.6275303643724697, "percentage": 12.55, "elapsed_time": "2:02:57", "remaining_time": "14:16:42"}
+{"current_steps": 156, "total_steps": 1235, "loss": 0.4327, "lr": 3.991817703090965e-05, "epoch": 0.631578947368421, "percentage": 12.63, "elapsed_time": "2:03:43", "remaining_time": "14:15:43"}
+{"current_steps": 157, "total_steps": 1235, "loss": 0.4505, "lr": 3.991298695938038e-05, "epoch": 0.6356275303643725, "percentage": 12.71, "elapsed_time": "2:04:30", "remaining_time": "14:14:53"}
+{"current_steps": 158, "total_steps": 1235, "loss": 0.4367, "lr": 3.9907637664138e-05, "epoch": 0.6396761133603239, "percentage": 12.79, "elapsed_time": "2:05:17", "remaining_time": "14:14:03"}
+{"current_steps": 159, "total_steps": 1235, "loss": 0.4399, "lr": 3.990212918795534e-05, "epoch": 0.6437246963562753, "percentage": 12.87, "elapsed_time": "2:06:04", "remaining_time": "14:13:13"}
+{"current_steps": 160, "total_steps": 1235, "loss": 0.433, "lr": 3.9896461574878036e-05, "epoch": 0.6477732793522267, "percentage": 12.96, "elapsed_time": "2:06:53", "remaining_time": "14:12:32"}
+{"current_steps": 161, "total_steps": 1235, "loss": 0.4415, "lr": 3.989063487022416e-05, "epoch": 0.6518218623481782, "percentage": 13.04, "elapsed_time": "2:07:41", "remaining_time": "14:11:47"}
+{"current_steps": 162, "total_steps": 1235, "loss": 0.4375, "lr": 3.9884649120583903e-05, "epoch": 0.6558704453441295, "percentage": 13.12, "elapsed_time": "2:08:28", "remaining_time": "14:10:57"}
+{"current_steps": 163, "total_steps": 1235, "loss": 0.4555, "lr": 3.987850437381915e-05, "epoch": 0.659919028340081, "percentage": 13.2, "elapsed_time": "2:09:16", "remaining_time": "14:10:14"}
+{"current_steps": 164, "total_steps": 1235, "loss": 0.4393, "lr": 3.987220067906313e-05, "epoch": 0.6639676113360324, "percentage": 13.28, "elapsed_time": "2:10:01", "remaining_time": "14:09:09"}
+{"current_steps": 165, "total_steps": 1235, "loss": 0.4452, "lr": 3.986573808672002e-05, "epoch": 0.6680161943319838, "percentage": 13.36, "elapsed_time": "2:10:49", "remaining_time": "14:08:24"}
+{"current_steps": 166, "total_steps": 1235, "loss": 0.4447, "lr": 3.9859116648464534e-05, "epoch": 0.6720647773279352, "percentage": 13.44, "elapsed_time": "2:11:37", "remaining_time": "14:07:40"}
+{"current_steps": 167, "total_steps": 1235, "loss": 0.4317, "lr": 3.985233641724152e-05, "epoch": 0.6761133603238867, "percentage": 13.52, "elapsed_time": "2:12:23", "remaining_time": "14:06:38"}
+{"current_steps": 168, "total_steps": 1235, "loss": 0.4475, "lr": 3.984539744726554e-05, "epoch": 0.680161943319838, "percentage": 13.6, "elapsed_time": "2:13:11", "remaining_time": "14:05:56"}
+{"current_steps": 169, "total_steps": 1235, "loss": 0.4426, "lr": 3.983829979402038e-05, "epoch": 0.6842105263157895, "percentage": 13.68, "elapsed_time": "2:13:58", "remaining_time": "14:05:04"}
+{"current_steps": 170, "total_steps": 1235, "loss": 0.4446, "lr": 3.983104351425871e-05, "epoch": 0.6882591093117408, "percentage": 13.77, "elapsed_time": "2:14:44", "remaining_time": "14:04:05"}
+{"current_steps": 171, "total_steps": 1235, "loss": 0.4433, "lr": 3.982362866600154e-05, "epoch": 0.6923076923076923, "percentage": 13.85, "elapsed_time": "2:15:32", "remaining_time": "14:03:20"}
+{"current_steps": 172, "total_steps": 1235, "loss": 0.4389, "lr": 3.9816055308537806e-05, "epoch": 0.6963562753036437, "percentage": 13.93, "elapsed_time": "2:16:18", "remaining_time": "14:02:25"}
+{"current_steps": 173, "total_steps": 1235, "loss": 0.4427, "lr": 3.980832350242388e-05, "epoch": 0.7004048582995951, "percentage": 14.01, "elapsed_time": "2:17:06", "remaining_time": "14:01:39"}
+{"current_steps": 174, "total_steps": 1235, "loss": 0.4452, "lr": 3.980043330948306e-05, "epoch": 0.7044534412955465, "percentage": 14.09, "elapsed_time": "2:17:54", "remaining_time": "14:00:52"}
+{"current_steps": 175, "total_steps": 1235, "loss": 0.4382, "lr": 3.9792384792805124e-05, "epoch": 0.708502024291498, "percentage": 14.17, "elapsed_time": "2:18:40", "remaining_time": "13:59:58"}
+{"current_steps": 176, "total_steps": 1235, "loss": 0.4511, "lr": 3.978417801674579e-05, "epoch": 0.7125506072874493, "percentage": 14.25, "elapsed_time": "2:19:29", "remaining_time": "13:59:17"}
+{"current_steps": 177, "total_steps": 1235, "loss": 0.4382, "lr": 3.9775813046926244e-05, "epoch": 0.7165991902834008, "percentage": 14.33, "elapsed_time": "2:20:16", "remaining_time": "13:58:28"}
+{"current_steps": 178, "total_steps": 1235, "loss": 0.4389, "lr": 3.976728995023254e-05, "epoch": 0.7206477732793523, "percentage": 14.41, "elapsed_time": "2:21:04", "remaining_time": "13:57:41"}
+{"current_steps": 179, "total_steps": 1235, "loss": 0.4515, "lr": 3.975860879481514e-05, "epoch": 0.7246963562753036, "percentage": 14.49, "elapsed_time": "2:21:51", "remaining_time": "13:56:50"}
+{"current_steps": 180, "total_steps": 1235, "loss": 0.4453, "lr": 3.974976965008833e-05, "epoch": 0.728744939271255, "percentage": 14.57, "elapsed_time": "2:22:38", "remaining_time": "13:56:03"}
+{"current_steps": 181, "total_steps": 1235, "loss": 0.4536, "lr": 3.9740772586729674e-05, "epoch": 0.7327935222672065, "percentage": 14.66, "elapsed_time": "2:23:26", "remaining_time": "13:55:19"}
+{"current_steps": 182, "total_steps": 1235, "loss": 0.4501, "lr": 3.973161767667946e-05, "epoch": 0.7368421052631579, "percentage": 14.74, "elapsed_time": "2:24:14", "remaining_time": "13:54:34"}
+{"current_steps": 183, "total_steps": 1235, "loss": 0.44, "lr": 3.972230499314009e-05, "epoch": 0.7408906882591093, "percentage": 14.82, "elapsed_time": "2:25:03", "remaining_time": "13:53:50"}
+{"current_steps": 184, "total_steps": 1235, "loss": 0.4397, "lr": 3.9712834610575545e-05, "epoch": 0.7449392712550608, "percentage": 14.9, "elapsed_time": "2:25:50", "remaining_time": "13:53:01"}
+{"current_steps": 185, "total_steps": 1235, "loss": 0.4456, "lr": 3.9703206604710746e-05, "epoch": 0.7489878542510121, "percentage": 14.98, "elapsed_time": "2:26:38", "remaining_time": "13:52:19"}
+{"current_steps": 186, "total_steps": 1235, "loss": 0.4316, "lr": 3.969342105253098e-05, "epoch": 0.7530364372469636, "percentage": 15.06, "elapsed_time": "2:27:25", "remaining_time": "13:51:24"}
+{"current_steps": 187, "total_steps": 1235, "loss": 0.4417, "lr": 3.9683478032281246e-05, "epoch": 0.757085020242915, "percentage": 15.14, "elapsed_time": "2:28:13", "remaining_time": "13:50:40"}
+{"current_steps": 188, "total_steps": 1235, "loss": 0.439, "lr": 3.967337762346568e-05, "epoch": 0.7611336032388664, "percentage": 15.22, "elapsed_time": "2:28:57", "remaining_time": "13:49:36"}
+{"current_steps": 189, "total_steps": 1235, "loss": 0.4388, "lr": 3.9663119906846885e-05, "epoch": 0.7651821862348178, "percentage": 15.3, "elapsed_time": "2:29:44", "remaining_time": "13:48:43"}
+{"current_steps": 190, "total_steps": 1235, "loss": 0.4414, "lr": 3.965270496444528e-05, "epoch": 0.7692307692307693, "percentage": 15.38, "elapsed_time": "2:30:30", "remaining_time": "13:47:47"}
+{"current_steps": 191, "total_steps": 1235, "loss": 0.4459, "lr": 3.9642132879538465e-05, "epoch": 0.7732793522267206, "percentage": 15.47, "elapsed_time": "2:31:16", "remaining_time": "13:46:52"}
+{"current_steps": 192, "total_steps": 1235, "loss": 0.4468, "lr": 3.9631403736660566e-05, "epoch": 0.7773279352226721, "percentage": 15.55, "elapsed_time": "2:32:03", "remaining_time": "13:46:01"}
+{"current_steps": 193, "total_steps": 1235, "loss": 0.4427, "lr": 3.962051762160151e-05, "epoch": 0.7813765182186235, "percentage": 15.63, "elapsed_time": "2:32:52", "remaining_time": "13:45:22"}
+{"current_steps": 194, "total_steps": 1235, "loss": 0.4333, "lr": 3.960947462140638e-05, "epoch": 0.7854251012145749, "percentage": 15.71, "elapsed_time": "2:33:41", "remaining_time": "13:44:43"}
+{"current_steps": 195, "total_steps": 1235, "loss": 0.4429, "lr": 3.959827482437472e-05, "epoch": 0.7894736842105263, "percentage": 15.79, "elapsed_time": "2:34:30", "remaining_time": "13:44:00"}
+{"current_steps": 196, "total_steps": 1235, "loss": 0.4374, "lr": 3.958691832005981e-05, "epoch": 0.7935222672064778, "percentage": 15.87, "elapsed_time": "2:35:16", "remaining_time": "13:43:05"}
+{"current_steps": 197, "total_steps": 1235, "loss": 0.4379, "lr": 3.9575405199267944e-05, "epoch": 0.7975708502024291, "percentage": 15.95, "elapsed_time": "2:36:04", "remaining_time": "13:42:19"}
+{"current_steps": 198, "total_steps": 1235, "loss": 0.4495, "lr": 3.956373555405774e-05, "epoch": 0.8016194331983806, "percentage": 16.03, "elapsed_time": "2:36:53", "remaining_time": "13:41:41"}
+{"current_steps": 199, "total_steps": 1235, "loss": 0.4369, "lr": 3.955190947773937e-05, "epoch": 0.805668016194332, "percentage": 16.11, "elapsed_time": "2:37:40", "remaining_time": "13:40:49"}
+{"current_steps": 200, "total_steps": 1235, "loss": 0.4348, "lr": 3.9539927064873824e-05, "epoch": 0.8097165991902834, "percentage": 16.19, "elapsed_time": "2:38:27", "remaining_time": "13:40:03"}
+{"current_steps": 201, "total_steps": 1235, "loss": 0.4291, "lr": 3.952778841127214e-05, "epoch": 0.8137651821862348, "percentage": 16.28, "elapsed_time": "2:39:15", "remaining_time": "13:39:14"}
+{"current_steps": 202, "total_steps": 1235, "loss": 0.4339, "lr": 3.95154936139947e-05, "epoch": 0.8178137651821862, "percentage": 16.36, "elapsed_time": "2:40:03", "remaining_time": "13:38:32"}
+{"current_steps": 203, "total_steps": 1235, "loss": 0.4291, "lr": 3.950304277135034e-05, "epoch": 0.8218623481781376, "percentage": 16.44, "elapsed_time": "2:40:48", "remaining_time": "13:37:29"}
+{"current_steps": 204, "total_steps": 1235, "loss": 0.44, "lr": 3.94904359828957e-05, "epoch": 0.8259109311740891, "percentage": 16.52, "elapsed_time": "2:41:36", "remaining_time": "13:36:46"}
+{"current_steps": 205, "total_steps": 1235, "loss": 0.453, "lr": 3.94776733494343e-05, "epoch": 0.8299595141700404, "percentage": 16.6, "elapsed_time": "2:42:25", "remaining_time": "13:36:04"}
+{"current_steps": 206, "total_steps": 1235, "loss": 0.4336, "lr": 3.9464754973015826e-05, "epoch": 0.8340080971659919, "percentage": 16.68, "elapsed_time": "2:43:13", "remaining_time": "13:35:19"}
+{"current_steps": 207, "total_steps": 1235, "loss": 0.4301, "lr": 3.9451680956935275e-05, "epoch": 0.8380566801619433, "percentage": 16.76, "elapsed_time": "2:44:02", "remaining_time": "13:34:37"}
+{"current_steps": 208, "total_steps": 1235, "loss": 0.4448, "lr": 3.943845140573213e-05, "epoch": 0.8421052631578947, "percentage": 16.84, "elapsed_time": "2:44:50", "remaining_time": "13:33:52"}
+{"current_steps": 209, "total_steps": 1235, "loss": 0.45, "lr": 3.942506642518952e-05, "epoch": 0.8461538461538461, "percentage": 16.92, "elapsed_time": "2:45:35", "remaining_time": "13:32:56"}
+{"current_steps": 210, "total_steps": 1235, "loss": 0.4416, "lr": 3.9411526122333396e-05, "epoch": 0.8502024291497976, "percentage": 17.0, "elapsed_time": "2:46:23", "remaining_time": "13:32:08"}
+{"current_steps": 211, "total_steps": 1235, "loss": 0.4349, "lr": 3.939783060543167e-05, "epoch": 0.854251012145749, "percentage": 17.09, "elapsed_time": "2:47:09", "remaining_time": "13:31:15"}
+{"current_steps": 212, "total_steps": 1235, "loss": 0.439, "lr": 3.938397998399333e-05, "epoch": 0.8582995951417004, "percentage": 17.17, "elapsed_time": "2:47:57", "remaining_time": "13:30:29"}
+{"current_steps": 213, "total_steps": 1235, "loss": 0.4421, "lr": 3.936997436876756e-05, "epoch": 0.8623481781376519, "percentage": 17.25, "elapsed_time": "2:48:47", "remaining_time": "13:29:51"}
+{"current_steps": 214, "total_steps": 1235, "loss": 0.4268, "lr": 3.935581387174289e-05, "epoch": 0.8663967611336032, "percentage": 17.33, "elapsed_time": "2:49:35", "remaining_time": "13:29:07"}
+{"current_steps": 215, "total_steps": 1235, "loss": 0.4277, "lr": 3.9341498606146295e-05, "epoch": 0.8704453441295547, "percentage": 17.41, "elapsed_time": "2:50:24", "remaining_time": "13:28:26"}
+{"current_steps": 216, "total_steps": 1235, "loss": 0.4376, "lr": 3.932702868644224e-05, "epoch": 0.8744939271255061, "percentage": 17.49, "elapsed_time": "2:51:10", "remaining_time": "13:27:33"}
+{"current_steps": 217, "total_steps": 1235, "loss": 0.4349, "lr": 3.931240422833181e-05, "epoch": 0.8785425101214575, "percentage": 17.57, "elapsed_time": "2:52:00", "remaining_time": "13:26:54"}
+{"current_steps": 218, "total_steps": 1235, "loss": 0.4359, "lr": 3.9297625348751806e-05, "epoch": 0.8825910931174089, "percentage": 17.65, "elapsed_time": "2:52:48", "remaining_time": "13:26:08"}
+{"current_steps": 219, "total_steps": 1235, "loss": 0.4288, "lr": 3.9282692165873744e-05, "epoch": 0.8866396761133604, "percentage": 17.73, "elapsed_time": "2:53:34", "remaining_time": "13:25:16"}
+{"current_steps": 220, "total_steps": 1235, "loss": 0.44, "lr": 3.9267604799102945e-05, "epoch": 0.8906882591093117, "percentage": 17.81, "elapsed_time": "2:54:22", "remaining_time": "13:24:30"}
+{"current_steps": 221, "total_steps": 1235, "loss": 0.4312, "lr": 3.9252363369077615e-05, "epoch": 0.8947368421052632, "percentage": 17.89, "elapsed_time": "2:55:11", "remaining_time": "13:23:48"}
+{"current_steps": 222, "total_steps": 1235, "loss": 0.4369, "lr": 3.9236967997667796e-05, "epoch": 0.8987854251012146, "percentage": 17.98, "elapsed_time": "2:55:58", "remaining_time": "13:22:58"}
+{"current_steps": 223, "total_steps": 1235, "loss": 0.4444, "lr": 3.9221418807974496e-05, "epoch": 0.902834008097166, "percentage": 18.06, "elapsed_time": "2:56:43", "remaining_time": "13:22:01"}
+{"current_steps": 224, "total_steps": 1235, "loss": 0.4331, "lr": 3.92057159243286e-05, "epoch": 0.9068825910931174, "percentage": 18.14, "elapsed_time": "2:57:31", "remaining_time": "13:21:13"}
+{"current_steps": 225, "total_steps": 1235, "loss": 0.4246, "lr": 3.9189859472289956e-05, "epoch": 0.9109311740890689, "percentage": 18.22, "elapsed_time": "2:58:16", "remaining_time": "13:20:15"}
+{"current_steps": 226, "total_steps": 1235, "loss": 0.4437, "lr": 3.9173849578646324e-05, "epoch": 0.9149797570850202, "percentage": 18.3, "elapsed_time": "2:59:03", "remaining_time": "13:19:25"}
+{"current_steps": 227, "total_steps": 1235, "loss": 0.4337, "lr": 3.9157686371412395e-05, "epoch": 0.9190283400809717, "percentage": 18.38, "elapsed_time": "2:59:51", "remaining_time": "13:18:42"}
+{"current_steps": 228, "total_steps": 1235, "loss": 0.435, "lr": 3.914136997982874e-05, "epoch": 0.9230769230769231, "percentage": 18.46, "elapsed_time": "3:00:39", "remaining_time": "13:17:54"}
+{"current_steps": 229, "total_steps": 1235, "loss": 0.4247, "lr": 3.912490053436079e-05, "epoch": 0.9271255060728745, "percentage": 18.54, "elapsed_time": "3:01:27", "remaining_time": "13:17:08"}
+{"current_steps": 230, "total_steps": 1235, "loss": 0.4282, "lr": 3.9108278166697805e-05, "epoch": 0.9311740890688259, "percentage": 18.62, "elapsed_time": "3:02:15", "remaining_time": "13:16:24"}
+{"current_steps": 231, "total_steps": 1235, "loss": 0.4352, "lr": 3.909150300975178e-05, "epoch": 0.9352226720647774, "percentage": 18.7, "elapsed_time": "3:03:02", "remaining_time": "13:15:32"}
+{"current_steps": 232, "total_steps": 1235, "loss": 0.4251, "lr": 3.907457519765642e-05, "epoch": 0.9392712550607287, "percentage": 18.79, "elapsed_time": "3:03:51", "remaining_time": "13:14:52"}
+{"current_steps": 233, "total_steps": 1235, "loss": 0.4264, "lr": 3.905749486576607e-05, "epoch": 0.9433198380566802, "percentage": 18.87, "elapsed_time": "3:04:35", "remaining_time": "13:13:50"}
+{"current_steps": 234, "total_steps": 1235, "loss": 0.4358, "lr": 3.90402621506546e-05, "epoch": 0.9473684210526315, "percentage": 18.95, "elapsed_time": "3:05:23", "remaining_time": "13:13:04"}
+{"current_steps": 235, "total_steps": 1235, "loss": 0.4359, "lr": 3.902287719011435e-05, "epoch": 0.951417004048583, "percentage": 19.03, "elapsed_time": "3:06:11", "remaining_time": "13:12:18"}
+{"current_steps": 236, "total_steps": 1235, "loss": 0.4274, "lr": 3.900534012315499e-05, "epoch": 0.9554655870445344, "percentage": 19.11, "elapsed_time": "3:06:59", "remaining_time": "13:11:31"}
+{"current_steps": 237, "total_steps": 1235, "loss": 0.4265, "lr": 3.8987651090002454e-05, "epoch": 0.9595141700404858, "percentage": 19.19, "elapsed_time": "3:07:45", "remaining_time": "13:10:39"}
+{"current_steps": 238, "total_steps": 1235, "loss": 0.4397, "lr": 3.896981023209777e-05, "epoch": 0.9635627530364372, "percentage": 19.27, "elapsed_time": "3:08:32", "remaining_time": "13:09:50"}
+{"current_steps": 239, "total_steps": 1235, "loss": 0.4195, "lr": 3.8951817692095966e-05, "epoch": 0.9676113360323887, "percentage": 19.35, "elapsed_time": "3:09:20", "remaining_time": "13:09:04"}
+{"current_steps": 240, "total_steps": 1235, "loss": 0.4317, "lr": 3.893367361386491e-05, "epoch": 0.97165991902834, "percentage": 19.43, "elapsed_time": "3:10:09", "remaining_time": "13:08:22"}
+{"current_steps": 241, "total_steps": 1235, "loss": 0.4343, "lr": 3.891537814248417e-05, "epoch": 0.9757085020242915, "percentage": 19.51, "elapsed_time": "3:10:55", "remaining_time": "13:07:28"}
+{"current_steps": 242, "total_steps": 1235, "loss": 0.4268, "lr": 3.889693142424384e-05, "epoch": 0.979757085020243, "percentage": 19.6, "elapsed_time": "3:11:43", "remaining_time": "13:06:43"}
+{"current_steps": 243, "total_steps": 1235, "loss": 0.4228, "lr": 3.8878333606643405e-05, "epoch": 0.9838056680161943, "percentage": 19.68, "elapsed_time": "3:12:32", "remaining_time": "13:05:59"}
+{"current_steps": 244, "total_steps": 1235, "loss": 0.426, "lr": 3.885958483839049e-05, "epoch": 0.9878542510121457, "percentage": 19.76, "elapsed_time": "3:13:20", "remaining_time": "13:05:17"}
+{"current_steps": 245, "total_steps": 1235, "loss": 0.4254, "lr": 3.8840685269399786e-05, "epoch": 0.9919028340080972, "percentage": 19.84, "elapsed_time": "3:14:09", "remaining_time": "13:04:32"}
+{"current_steps": 246, "total_steps": 1235, "loss": 0.4291, "lr": 3.882163505079171e-05, "epoch": 0.9959514170040485, "percentage": 19.92, "elapsed_time": "3:14:58", "remaining_time": "13:03:50"}
+{"current_steps": 247, "total_steps": 1235, "loss": 0.4288, "lr": 3.880243433489132e-05, "epoch": 1.0, "percentage": 20.0, "elapsed_time": "3:15:44", "remaining_time": "13:02:59"}
+{"current_steps": 248, "total_steps": 1235, "loss": 0.3938, "lr": 3.878308327522702e-05, "epoch": 1.0040485829959513, "percentage": 20.08, "elapsed_time": "3:17:17", "remaining_time": "13:05:11"}
+{"current_steps": 249, "total_steps": 1235, "loss": 0.3955, "lr": 3.876358202652936e-05, "epoch": 1.008097165991903, "percentage": 20.16, "elapsed_time": "3:18:04", "remaining_time": "13:04:20"}
+{"current_steps": 250, "total_steps": 1235, "loss": 0.3946, "lr": 3.8743930744729835e-05, "epoch": 1.0121457489878543, "percentage": 20.24, "elapsed_time": "3:18:52", "remaining_time": "13:03:33"}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a49965d9ca2c6bb5c51d33885738608eee9deaffa51cb7fd2d109c7a58e2edbb
+size 7160