End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +693 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: 1k_globalbatchsize32_lr5e6_epochs3
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# 1k_globalbatchsize32_lr5e6_epochs3
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: 1k_globalbatchsize32_lr5e6_epochs3
|
|
|
|
| 16 |
|
| 17 |
# 1k_globalbatchsize32_lr5e6_epochs3
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/openthoughts_1000 dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.976,
|
| 3 |
+
"total_flos": 5.107931021941146e+16,
|
| 4 |
+
"train_loss": 0.6129485577024439,
|
| 5 |
+
"train_runtime": 3284.9265,
|
| 6 |
+
"train_samples_per_second": 0.91,
|
| 7 |
+
"train_steps_per_second": 0.028
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.976,
|
| 3 |
+
"total_flos": 5.107931021941146e+16,
|
| 4 |
+
"train_loss": 0.6129485577024439,
|
| 5 |
+
"train_runtime": 3284.9265,
|
| 6 |
+
"train_samples_per_second": 0.91,
|
| 7 |
+
"train_steps_per_second": 0.028
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,693 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.976,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 93,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.032,
|
| 13 |
+
"grad_norm": 5.849673926536721,
|
| 14 |
+
"learning_rate": 5.000000000000001e-07,
|
| 15 |
+
"loss": 0.8186,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.064,
|
| 20 |
+
"grad_norm": 5.8970181550625895,
|
| 21 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 22 |
+
"loss": 0.8458,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.096,
|
| 27 |
+
"grad_norm": 5.697363226671905,
|
| 28 |
+
"learning_rate": 1.5e-06,
|
| 29 |
+
"loss": 0.8305,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.128,
|
| 34 |
+
"grad_norm": 5.841753636905696,
|
| 35 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 36 |
+
"loss": 0.868,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.16,
|
| 41 |
+
"grad_norm": 5.671243517334994,
|
| 42 |
+
"learning_rate": 2.5e-06,
|
| 43 |
+
"loss": 0.8036,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.192,
|
| 48 |
+
"grad_norm": 4.599014608569536,
|
| 49 |
+
"learning_rate": 3e-06,
|
| 50 |
+
"loss": 0.8808,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.224,
|
| 55 |
+
"grad_norm": 4.220193980086825,
|
| 56 |
+
"learning_rate": 3.5e-06,
|
| 57 |
+
"loss": 0.8373,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.256,
|
| 62 |
+
"grad_norm": 2.379366858517578,
|
| 63 |
+
"learning_rate": 4.000000000000001e-06,
|
| 64 |
+
"loss": 0.7709,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.288,
|
| 69 |
+
"grad_norm": 2.195706729610227,
|
| 70 |
+
"learning_rate": 4.5e-06,
|
| 71 |
+
"loss": 0.7403,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.32,
|
| 76 |
+
"grad_norm": 3.8473606579954094,
|
| 77 |
+
"learning_rate": 5e-06,
|
| 78 |
+
"loss": 0.7736,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.352,
|
| 83 |
+
"grad_norm": 4.215166044150153,
|
| 84 |
+
"learning_rate": 4.998209387040829e-06,
|
| 85 |
+
"loss": 0.8299,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.384,
|
| 90 |
+
"grad_norm": 4.295222651552718,
|
| 91 |
+
"learning_rate": 4.992840113199131e-06,
|
| 92 |
+
"loss": 0.7895,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.416,
|
| 97 |
+
"grad_norm": 3.8988289446476796,
|
| 98 |
+
"learning_rate": 4.983899869907963e-06,
|
| 99 |
+
"loss": 0.723,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.448,
|
| 104 |
+
"grad_norm": 3.839958855257017,
|
| 105 |
+
"learning_rate": 4.971401463979722e-06,
|
| 106 |
+
"loss": 0.7461,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.48,
|
| 111 |
+
"grad_norm": 3.069526753856086,
|
| 112 |
+
"learning_rate": 4.955362799260507e-06,
|
| 113 |
+
"loss": 0.6986,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.512,
|
| 118 |
+
"grad_norm": 2.7386584473852658,
|
| 119 |
+
"learning_rate": 4.935806850983034e-06,
|
| 120 |
+
"loss": 0.7205,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.544,
|
| 125 |
+
"grad_norm": 2.02702044199497,
|
| 126 |
+
"learning_rate": 4.912761632854834e-06,
|
| 127 |
+
"loss": 0.7043,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.576,
|
| 132 |
+
"grad_norm": 1.5415003473808875,
|
| 133 |
+
"learning_rate": 4.8862601569288885e-06,
|
| 134 |
+
"loss": 0.6786,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.608,
|
| 139 |
+
"grad_norm": 1.6945417207348286,
|
| 140 |
+
"learning_rate": 4.8563403863141825e-06,
|
| 141 |
+
"loss": 0.7001,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.64,
|
| 146 |
+
"grad_norm": 1.3996088584254769,
|
| 147 |
+
"learning_rate": 4.823045180793914e-06,
|
| 148 |
+
"loss": 0.6194,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.672,
|
| 153 |
+
"grad_norm": 1.7673568712274899,
|
| 154 |
+
"learning_rate": 4.786422235429269e-06,
|
| 155 |
+
"loss": 0.6456,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.704,
|
| 160 |
+
"grad_norm": 1.623347448295577,
|
| 161 |
+
"learning_rate": 4.746524012236706e-06,
|
| 162 |
+
"loss": 0.6652,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.736,
|
| 167 |
+
"grad_norm": 1.2829766714727795,
|
| 168 |
+
"learning_rate": 4.703407665036622e-06,
|
| 169 |
+
"loss": 0.6032,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.768,
|
| 174 |
+
"grad_norm": 1.3613789016207494,
|
| 175 |
+
"learning_rate": 4.657134957581057e-06,
|
| 176 |
+
"loss": 0.7089,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.8,
|
| 181 |
+
"grad_norm": 0.9373480619558588,
|
| 182 |
+
"learning_rate": 4.607772175077712e-06,
|
| 183 |
+
"loss": 0.6395,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.832,
|
| 188 |
+
"grad_norm": 1.12602050571956,
|
| 189 |
+
"learning_rate": 4.555390029237026e-06,
|
| 190 |
+
"loss": 0.7021,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.864,
|
| 195 |
+
"grad_norm": 1.0086309702493645,
|
| 196 |
+
"learning_rate": 4.5000635569783365e-06,
|
| 197 |
+
"loss": 0.6345,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.896,
|
| 202 |
+
"grad_norm": 1.234160112595515,
|
| 203 |
+
"learning_rate": 4.4418720129402145e-06,
|
| 204 |
+
"loss": 0.6273,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.928,
|
| 209 |
+
"grad_norm": 0.9735941294239923,
|
| 210 |
+
"learning_rate": 4.3808987559489536e-06,
|
| 211 |
+
"loss": 0.6497,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.96,
|
| 216 |
+
"grad_norm": 0.8806041823335348,
|
| 217 |
+
"learning_rate": 4.317231129607859e-06,
|
| 218 |
+
"loss": 0.6714,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.992,
|
| 223 |
+
"grad_norm": 0.9271923458351733,
|
| 224 |
+
"learning_rate": 4.2509603371783776e-06,
|
| 225 |
+
"loss": 0.6328,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.024,
|
| 230 |
+
"grad_norm": 1.5098478417524255,
|
| 231 |
+
"learning_rate": 4.1821813109322975e-06,
|
| 232 |
+
"loss": 0.9666,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.056,
|
| 237 |
+
"grad_norm": 0.8108394298004445,
|
| 238 |
+
"learning_rate": 4.110992576162193e-06,
|
| 239 |
+
"loss": 0.5684,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.088,
|
| 244 |
+
"grad_norm": 0.8548590696244006,
|
| 245 |
+
"learning_rate": 4.037496110044885e-06,
|
| 246 |
+
"loss": 0.5749,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.12,
|
| 251 |
+
"grad_norm": 0.8745126302896333,
|
| 252 |
+
"learning_rate": 3.961797195560118e-06,
|
| 253 |
+
"loss": 0.614,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.152,
|
| 258 |
+
"grad_norm": 0.7435496429501566,
|
| 259 |
+
"learning_rate": 3.884004270673711e-06,
|
| 260 |
+
"loss": 0.5273,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.184,
|
| 265 |
+
"grad_norm": 0.7685963393034175,
|
| 266 |
+
"learning_rate": 3.8042287730012117e-06,
|
| 267 |
+
"loss": 0.6375,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.216,
|
| 272 |
+
"grad_norm": 0.8434136566563109,
|
| 273 |
+
"learning_rate": 3.7225849801745835e-06,
|
| 274 |
+
"loss": 0.6295,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.248,
|
| 279 |
+
"grad_norm": 0.7860421945854131,
|
| 280 |
+
"learning_rate": 3.6391898461406045e-06,
|
| 281 |
+
"loss": 0.5147,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.28,
|
| 286 |
+
"grad_norm": 0.6986247608098803,
|
| 287 |
+
"learning_rate": 3.55416283362546e-06,
|
| 288 |
+
"loss": 0.5539,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.312,
|
| 293 |
+
"grad_norm": 0.6004937658413751,
|
| 294 |
+
"learning_rate": 3.4676257430055438e-06,
|
| 295 |
+
"loss": 0.4879,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.3439999999999999,
|
| 300 |
+
"grad_norm": 0.6936826995472081,
|
| 301 |
+
"learning_rate": 3.3797025378295826e-06,
|
| 302 |
+
"loss": 0.627,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.376,
|
| 307 |
+
"grad_norm": 0.5956362371010271,
|
| 308 |
+
"learning_rate": 3.29051916724206e-06,
|
| 309 |
+
"loss": 0.4996,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.408,
|
| 314 |
+
"grad_norm": 0.6859466931561792,
|
| 315 |
+
"learning_rate": 3.2002033855622683e-06,
|
| 316 |
+
"loss": 0.6106,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.44,
|
| 321 |
+
"grad_norm": 0.843708683499078,
|
| 322 |
+
"learning_rate": 3.1088845692774798e-06,
|
| 323 |
+
"loss": 0.644,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.472,
|
| 328 |
+
"grad_norm": 0.6343088750841447,
|
| 329 |
+
"learning_rate": 3.0166935317123824e-06,
|
| 330 |
+
"loss": 0.5099,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.504,
|
| 335 |
+
"grad_norm": 0.7271302183612709,
|
| 336 |
+
"learning_rate": 2.9237623356402423e-06,
|
| 337 |
+
"loss": 0.5716,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.536,
|
| 342 |
+
"grad_norm": 0.7366637555716543,
|
| 343 |
+
"learning_rate": 2.8302241041042564e-06,
|
| 344 |
+
"loss": 0.5895,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.568,
|
| 349 |
+
"grad_norm": 0.8301563843419107,
|
| 350 |
+
"learning_rate": 2.7362128297200784e-06,
|
| 351 |
+
"loss": 0.6191,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.6,
|
| 356 |
+
"grad_norm": 0.6840596491206852,
|
| 357 |
+
"learning_rate": 2.6418631827326857e-06,
|
| 358 |
+
"loss": 0.5595,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.6320000000000001,
|
| 363 |
+
"grad_norm": 0.7095662290542607,
|
| 364 |
+
"learning_rate": 2.547310318102548e-06,
|
| 365 |
+
"loss": 0.5506,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.6640000000000001,
|
| 370 |
+
"grad_norm": 0.7447871051048682,
|
| 371 |
+
"learning_rate": 2.4526896818974534e-06,
|
| 372 |
+
"loss": 0.6013,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.696,
|
| 377 |
+
"grad_norm": 0.78939028510505,
|
| 378 |
+
"learning_rate": 2.358136817267315e-06,
|
| 379 |
+
"loss": 0.5804,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.728,
|
| 384 |
+
"grad_norm": 0.7221168629786532,
|
| 385 |
+
"learning_rate": 2.263787170279922e-06,
|
| 386 |
+
"loss": 0.5112,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.76,
|
| 391 |
+
"grad_norm": 0.6843052552942253,
|
| 392 |
+
"learning_rate": 2.169775895895745e-06,
|
| 393 |
+
"loss": 0.5302,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.792,
|
| 398 |
+
"grad_norm": 0.6466865515836445,
|
| 399 |
+
"learning_rate": 2.0762376643597586e-06,
|
| 400 |
+
"loss": 0.5912,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.8239999999999998,
|
| 405 |
+
"grad_norm": 0.6241622145357679,
|
| 406 |
+
"learning_rate": 1.9833064682876175e-06,
|
| 407 |
+
"loss": 0.524,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.8559999999999999,
|
| 412 |
+
"grad_norm": 0.6681670660427579,
|
| 413 |
+
"learning_rate": 1.8911154307225204e-06,
|
| 414 |
+
"loss": 0.567,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.888,
|
| 419 |
+
"grad_norm": 0.6084101203959995,
|
| 420 |
+
"learning_rate": 1.7997966144377328e-06,
|
| 421 |
+
"loss": 0.4889,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.92,
|
| 426 |
+
"grad_norm": 0.6661890505529855,
|
| 427 |
+
"learning_rate": 1.7094808327579401e-06,
|
| 428 |
+
"loss": 0.5566,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.952,
|
| 433 |
+
"grad_norm": 0.7309734200574032,
|
| 434 |
+
"learning_rate": 1.6202974621704176e-06,
|
| 435 |
+
"loss": 0.6002,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.984,
|
| 440 |
+
"grad_norm": 0.6816696022945047,
|
| 441 |
+
"learning_rate": 1.5323742569944573e-06,
|
| 442 |
+
"loss": 0.5745,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 2.016,
|
| 447 |
+
"grad_norm": 1.3649323993886235,
|
| 448 |
+
"learning_rate": 1.44583716637454e-06,
|
| 449 |
+
"loss": 0.8374,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 2.048,
|
| 454 |
+
"grad_norm": 0.6467643294360865,
|
| 455 |
+
"learning_rate": 1.3608101538593965e-06,
|
| 456 |
+
"loss": 0.5162,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 2.08,
|
| 461 |
+
"grad_norm": 0.685164030556072,
|
| 462 |
+
"learning_rate": 1.277415019825417e-06,
|
| 463 |
+
"loss": 0.5509,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.112,
|
| 468 |
+
"grad_norm": 0.6039417194223102,
|
| 469 |
+
"learning_rate": 1.195771226998789e-06,
|
| 470 |
+
"loss": 0.505,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.144,
|
| 475 |
+
"grad_norm": 0.6457046464618058,
|
| 476 |
+
"learning_rate": 1.1159957293262888e-06,
|
| 477 |
+
"loss": 0.5505,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.176,
|
| 482 |
+
"grad_norm": 0.51006085110857,
|
| 483 |
+
"learning_rate": 1.0382028044398823e-06,
|
| 484 |
+
"loss": 0.4181,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.208,
|
| 489 |
+
"grad_norm": 0.5817319940273514,
|
| 490 |
+
"learning_rate": 9.625038899551162e-07,
|
| 491 |
+
"loss": 0.5063,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.24,
|
| 496 |
+
"grad_norm": 0.616719797907229,
|
| 497 |
+
"learning_rate": 8.890074238378074e-07,
|
| 498 |
+
"loss": 0.5717,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.2720000000000002,
|
| 503 |
+
"grad_norm": 0.5698471944044463,
|
| 504 |
+
"learning_rate": 8.178186890677029e-07,
|
| 505 |
+
"loss": 0.5182,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.304,
|
| 510 |
+
"grad_norm": 0.6181330817750901,
|
| 511 |
+
"learning_rate": 7.490396628216237e-07,
|
| 512 |
+
"loss": 0.5755,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.336,
|
| 517 |
+
"grad_norm": 0.5507693283896078,
|
| 518 |
+
"learning_rate": 6.827688703921407e-07,
|
| 519 |
+
"loss": 0.4823,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.368,
|
| 524 |
+
"grad_norm": 0.5955200432739955,
|
| 525 |
+
"learning_rate": 6.191012440510469e-07,
|
| 526 |
+
"loss": 0.53,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.4,
|
| 531 |
+
"grad_norm": 0.5637517004790812,
|
| 532 |
+
"learning_rate": 5.581279870597866e-07,
|
| 533 |
+
"loss": 0.4502,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.432,
|
| 538 |
+
"grad_norm": 0.7466890560657303,
|
| 539 |
+
"learning_rate": 4.999364430216639e-07,
|
| 540 |
+
"loss": 0.6202,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 2.464,
|
| 545 |
+
"grad_norm": 0.5634548289522667,
|
| 546 |
+
"learning_rate": 4.4460997076297504e-07,
|
| 547 |
+
"loss": 0.4654,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.496,
|
| 552 |
+
"grad_norm": 0.5460988308014747,
|
| 553 |
+
"learning_rate": 3.922278249222894e-07,
|
| 554 |
+
"loss": 0.4881,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.528,
|
| 559 |
+
"grad_norm": 0.5526022579328083,
|
| 560 |
+
"learning_rate": 3.4286504241894283e-07,
|
| 561 |
+
"loss": 0.4975,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 2.56,
|
| 566 |
+
"grad_norm": 0.622419564871221,
|
| 567 |
+
"learning_rate": 2.965923349633779e-07,
|
| 568 |
+
"loss": 0.605,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 2.592,
|
| 573 |
+
"grad_norm": 0.6459977525358341,
|
| 574 |
+
"learning_rate": 2.53475987763295e-07,
|
| 575 |
+
"loss": 0.5747,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 2.624,
|
| 580 |
+
"grad_norm": 0.577093639398248,
|
| 581 |
+
"learning_rate": 2.135777645707318e-07,
|
| 582 |
+
"loss": 0.4929,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 2.656,
|
| 587 |
+
"grad_norm": 0.5651216938831269,
|
| 588 |
+
"learning_rate": 1.7695481920608716e-07,
|
| 589 |
+
"loss": 0.5086,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.6879999999999997,
|
| 594 |
+
"grad_norm": 0.6067146555637166,
|
| 595 |
+
"learning_rate": 1.4365961368581844e-07,
|
| 596 |
+
"loss": 0.565,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.7199999999999998,
|
| 601 |
+
"grad_norm": 0.6317650182194224,
|
| 602 |
+
"learning_rate": 1.137398430711123e-07,
|
| 603 |
+
"loss": 0.603,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 2.752,
|
| 608 |
+
"grad_norm": 0.44966045140241284,
|
| 609 |
+
"learning_rate": 8.723836714516681e-08,
|
| 610 |
+
"loss": 0.3893,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 2.784,
|
| 615 |
+
"grad_norm": 0.5953264863370202,
|
| 616 |
+
"learning_rate": 6.419314901696671e-08,
|
| 617 |
+
"loss": 0.5293,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.816,
|
| 622 |
+
"grad_norm": 0.5479215502914991,
|
| 623 |
+
"learning_rate": 4.4637200739493514e-08,
|
| 624 |
+
"loss": 0.5167,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 2.848,
|
| 629 |
+
"grad_norm": 0.48730983980669906,
|
| 630 |
+
"learning_rate": 2.8598536020278678e-08,
|
| 631 |
+
"loss": 0.4821,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.88,
|
| 636 |
+
"grad_norm": 0.6545838078994339,
|
| 637 |
+
"learning_rate": 1.6100130092037704e-08,
|
| 638 |
+
"loss": 0.645,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.912,
|
| 643 |
+
"grad_norm": 0.5375454814372095,
|
| 644 |
+
"learning_rate": 7.159886800869875e-09,
|
| 645 |
+
"loss": 0.4611,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 2.944,
|
| 650 |
+
"grad_norm": 0.5959972228051752,
|
| 651 |
+
"learning_rate": 1.7906129591713228e-09,
|
| 652 |
+
"loss": 0.5646,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 2.976,
|
| 657 |
+
"grad_norm": 0.5297891060878839,
|
| 658 |
+
"learning_rate": 0.0,
|
| 659 |
+
"loss": 0.4423,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 2.976,
|
| 664 |
+
"step": 93,
|
| 665 |
+
"total_flos": 5.107931021941146e+16,
|
| 666 |
+
"train_loss": 0.6129485577024439,
|
| 667 |
+
"train_runtime": 3284.9265,
|
| 668 |
+
"train_samples_per_second": 0.91,
|
| 669 |
+
"train_steps_per_second": 0.028
|
| 670 |
+
}
|
| 671 |
+
],
|
| 672 |
+
"logging_steps": 1.0,
|
| 673 |
+
"max_steps": 93,
|
| 674 |
+
"num_input_tokens_seen": 0,
|
| 675 |
+
"num_train_epochs": 3,
|
| 676 |
+
"save_steps": 500,
|
| 677 |
+
"stateful_callbacks": {
|
| 678 |
+
"TrainerControl": {
|
| 679 |
+
"args": {
|
| 680 |
+
"should_epoch_stop": false,
|
| 681 |
+
"should_evaluate": false,
|
| 682 |
+
"should_log": false,
|
| 683 |
+
"should_save": true,
|
| 684 |
+
"should_training_stop": true
|
| 685 |
+
},
|
| 686 |
+
"attributes": {}
|
| 687 |
+
}
|
| 688 |
+
},
|
| 689 |
+
"total_flos": 5.107931021941146e+16,
|
| 690 |
+
"train_batch_size": 1,
|
| 691 |
+
"trial_name": null,
|
| 692 |
+
"trial_params": null
|
| 693 |
+
}
|
training_loss.png
ADDED
|