Training in progress, step 400

axolotl_config.yaml

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+base_model: codellama/CodeLlama-7b-hf
+batch_size: 32
+bf16: true
+chat_template: tokenizer_default_fallback_alpaca
+datasets:
+- format: custom
+  path: argilla/databricks-dolly-15k-curated-en
+  type:
+    field_input: original-instruction
+    field_instruction: original-instruction
+    field_output: original-response
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+device_map: auto
+eval_sample_packing: false
+eval_steps: 200
+flash_attention: true
+gpu_memory_limit: 80GiB
+group_by_length: true
+hub_model_id: SystemAdmin123/CodeLlama-7b-hf
+hub_strategy: checkpoint
+learning_rate: 0.0002
+logging_steps: 10
+lr_scheduler: cosine
+max_steps: 2500
+micro_batch_size: 2
+model_type: AutoModelForCausalLM
+num_epochs: 100
+optimizer: adamw_bnb_8bit
+output_dir: /root/.sn56/axolotl/outputs/CodeLlama-7b-hf
+pad_to_sequence_len: true
+resize_token_embeddings_to_32x: false
+sample_packing: false
+save_steps: 400
+save_total_limit: 1
+sequence_len: 2048
+special_tokens:
+  pad_token: </s>
+tokenizer_type: CodeLlamaTokenizerFast
+torch_dtype: bf16
+trust_remote_code: true
+val_set_size: 0.1
+wandb_entity: ''
+wandb_mode: online
+wandb_name: codellama/CodeLlama-7b-hf-argilla/databricks-dolly-15k-curated-en
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: default
+warmup_ratio: 0.05

config.json

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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.1",
+  "use_cache": false,
+  "vocab_size": 32016
+}

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+    "▁<EOT>"
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+      "content": "▁<EOT>",
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+    "▁<EOT>"
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+  "eot_token": "▁<EOT>",
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