End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +567 -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: qwen2-5_sky_t1_2-5k_rewrite_r1_distill_llama70b
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# qwen2-5_sky_t1_2-5k_rewrite_r1_distill_llama70b
|
| 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: qwen2-5_sky_t1_2-5k_rewrite_r1_distill_llama70b
|
|
|
|
| 16 |
|
| 17 |
# qwen2-5_sky_t1_2-5k_rewrite_r1_distill_llama70b
|
| 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/sky_t1_2-5k_rewrite_r1_distill_llama70b dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 20372648230912.0,
|
| 4 |
+
"train_loss": 0.4803738268216451,
|
| 5 |
+
"train_runtime": 543.6715,
|
| 6 |
+
"train_samples_per_second": 13.243,
|
| 7 |
+
"train_steps_per_second": 0.138
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 20372648230912.0,
|
| 4 |
+
"train_loss": 0.4803738268216451,
|
| 5 |
+
"train_runtime": 543.6715,
|
| 6 |
+
"train_samples_per_second": 13.243,
|
| 7 |
+
"train_steps_per_second": 0.138
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,567 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 75,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.04,
|
| 13 |
+
"grad_norm": 4.877281767256086,
|
| 14 |
+
"learning_rate": 1.25e-06,
|
| 15 |
+
"loss": 0.8206,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.08,
|
| 20 |
+
"grad_norm": 5.369627920053383,
|
| 21 |
+
"learning_rate": 2.5e-06,
|
| 22 |
+
"loss": 0.8398,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.12,
|
| 27 |
+
"grad_norm": 4.819203480978856,
|
| 28 |
+
"learning_rate": 3.7500000000000005e-06,
|
| 29 |
+
"loss": 0.8349,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.16,
|
| 34 |
+
"grad_norm": 4.708855694010613,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.794,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.2,
|
| 41 |
+
"grad_norm": 3.6373310096703357,
|
| 42 |
+
"learning_rate": 6.25e-06,
|
| 43 |
+
"loss": 0.7663,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.24,
|
| 48 |
+
"grad_norm": 2.135279898196607,
|
| 49 |
+
"learning_rate": 7.500000000000001e-06,
|
| 50 |
+
"loss": 0.6478,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.28,
|
| 55 |
+
"grad_norm": 2.5655576510980604,
|
| 56 |
+
"learning_rate": 8.750000000000001e-06,
|
| 57 |
+
"loss": 0.6477,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.32,
|
| 62 |
+
"grad_norm": 2.8068625830587983,
|
| 63 |
+
"learning_rate": 1e-05,
|
| 64 |
+
"loss": 0.6968,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.36,
|
| 69 |
+
"grad_norm": 2.0405627443941867,
|
| 70 |
+
"learning_rate": 9.994504457428557e-06,
|
| 71 |
+
"loss": 0.6165,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.4,
|
| 76 |
+
"grad_norm": 2.088955022175797,
|
| 77 |
+
"learning_rate": 9.978029910109491e-06,
|
| 78 |
+
"loss": 0.6045,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.44,
|
| 83 |
+
"grad_norm": 1.6551751609174368,
|
| 84 |
+
"learning_rate": 9.950612572673255e-06,
|
| 85 |
+
"loss": 0.579,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.48,
|
| 90 |
+
"grad_norm": 1.5329473345986582,
|
| 91 |
+
"learning_rate": 9.91231271437788e-06,
|
| 92 |
+
"loss": 0.5634,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.52,
|
| 97 |
+
"grad_norm": 1.4220679781894365,
|
| 98 |
+
"learning_rate": 9.863214526624065e-06,
|
| 99 |
+
"loss": 0.5766,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.56,
|
| 104 |
+
"grad_norm": 1.49388738084358,
|
| 105 |
+
"learning_rate": 9.803425937884202e-06,
|
| 106 |
+
"loss": 0.5681,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.6,
|
| 111 |
+
"grad_norm": 1.2077926761043856,
|
| 112 |
+
"learning_rate": 9.733078376452172e-06,
|
| 113 |
+
"loss": 0.5909,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.64,
|
| 118 |
+
"grad_norm": 1.1712939279273036,
|
| 119 |
+
"learning_rate": 9.652326481535434e-06,
|
| 120 |
+
"loss": 0.555,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.68,
|
| 125 |
+
"grad_norm": 1.1371718201572385,
|
| 126 |
+
"learning_rate": 9.561347763324484e-06,
|
| 127 |
+
"loss": 0.5554,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.72,
|
| 132 |
+
"grad_norm": 1.0446533550508397,
|
| 133 |
+
"learning_rate": 9.460342212786933e-06,
|
| 134 |
+
"loss": 0.5547,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.76,
|
| 139 |
+
"grad_norm": 0.7760261762286178,
|
| 140 |
+
"learning_rate": 9.349531862043952e-06,
|
| 141 |
+
"loss": 0.5153,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.8,
|
| 146 |
+
"grad_norm": 0.9073177851696704,
|
| 147 |
+
"learning_rate": 9.229160296295488e-06,
|
| 148 |
+
"loss": 0.5672,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.84,
|
| 153 |
+
"grad_norm": 0.8474699152217943,
|
| 154 |
+
"learning_rate": 9.099492118367123e-06,
|
| 155 |
+
"loss": 0.5615,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.88,
|
| 160 |
+
"grad_norm": 0.8094336108303068,
|
| 161 |
+
"learning_rate": 8.960812367055646e-06,
|
| 162 |
+
"loss": 0.532,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.92,
|
| 167 |
+
"grad_norm": 0.8195192520724021,
|
| 168 |
+
"learning_rate": 8.81342589055191e-06,
|
| 169 |
+
"loss": 0.5685,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.96,
|
| 174 |
+
"grad_norm": 0.8032789127659623,
|
| 175 |
+
"learning_rate": 8.657656676318346e-06,
|
| 176 |
+
"loss": 0.5798,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.0,
|
| 181 |
+
"grad_norm": 0.7820268577079116,
|
| 182 |
+
"learning_rate": 8.49384713889421e-06,
|
| 183 |
+
"loss": 0.5492,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.04,
|
| 188 |
+
"grad_norm": 0.7692042488256751,
|
| 189 |
+
"learning_rate": 8.32235736719411e-06,
|
| 190 |
+
"loss": 0.4943,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.08,
|
| 195 |
+
"grad_norm": 0.7090181776748236,
|
| 196 |
+
"learning_rate": 8.143564332954426e-06,
|
| 197 |
+
"loss": 0.4435,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 1.12,
|
| 202 |
+
"grad_norm": 0.65702841278586,
|
| 203 |
+
"learning_rate": 7.957861062067614e-06,
|
| 204 |
+
"loss": 0.4319,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 1.16,
|
| 209 |
+
"grad_norm": 0.675448734499891,
|
| 210 |
+
"learning_rate": 7.765655770625997e-06,
|
| 211 |
+
"loss": 0.4383,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 1.2,
|
| 216 |
+
"grad_norm": 0.7807304911969501,
|
| 217 |
+
"learning_rate": 7.56737096757421e-06,
|
| 218 |
+
"loss": 0.4815,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.24,
|
| 223 |
+
"grad_norm": 0.697811006200286,
|
| 224 |
+
"learning_rate": 7.363442525942827e-06,
|
| 225 |
+
"loss": 0.4587,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.28,
|
| 230 |
+
"grad_norm": 0.7882685643397841,
|
| 231 |
+
"learning_rate": 7.1543187247048525e-06,
|
| 232 |
+
"loss": 0.4446,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.32,
|
| 237 |
+
"grad_norm": 0.7379298166757972,
|
| 238 |
+
"learning_rate": 6.9404592633612486e-06,
|
| 239 |
+
"loss": 0.4305,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.3599999999999999,
|
| 244 |
+
"grad_norm": 0.761037521053593,
|
| 245 |
+
"learning_rate": 6.722334251421665e-06,
|
| 246 |
+
"loss": 0.4743,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.4,
|
| 251 |
+
"grad_norm": 0.7824996053631937,
|
| 252 |
+
"learning_rate": 6.500423175001705e-06,
|
| 253 |
+
"loss": 0.4381,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.44,
|
| 258 |
+
"grad_norm": 0.7386455759838737,
|
| 259 |
+
"learning_rate": 6.275213842808383e-06,
|
| 260 |
+
"loss": 0.4806,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.48,
|
| 265 |
+
"grad_norm": 0.7526911520339383,
|
| 266 |
+
"learning_rate": 6.047201313830724e-06,
|
| 267 |
+
"loss": 0.4603,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.52,
|
| 272 |
+
"grad_norm": 0.6600966457635797,
|
| 273 |
+
"learning_rate": 5.816886809092651e-06,
|
| 274 |
+
"loss": 0.4155,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.56,
|
| 279 |
+
"grad_norm": 0.7714058248821409,
|
| 280 |
+
"learning_rate": 5.584776609860414e-06,
|
| 281 |
+
"loss": 0.4588,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.6,
|
| 286 |
+
"grad_norm": 0.7134529075059547,
|
| 287 |
+
"learning_rate": 5.351380944726465e-06,
|
| 288 |
+
"loss": 0.443,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.6400000000000001,
|
| 293 |
+
"grad_norm": 0.6530128164819851,
|
| 294 |
+
"learning_rate": 5.117212868016303e-06,
|
| 295 |
+
"loss": 0.4313,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.6800000000000002,
|
| 300 |
+
"grad_norm": 0.6968246237025671,
|
| 301 |
+
"learning_rate": 4.882787131983698e-06,
|
| 302 |
+
"loss": 0.4539,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.72,
|
| 307 |
+
"grad_norm": 0.7211717885656892,
|
| 308 |
+
"learning_rate": 4.6486190552735375e-06,
|
| 309 |
+
"loss": 0.4248,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.76,
|
| 314 |
+
"grad_norm": 0.725165174893242,
|
| 315 |
+
"learning_rate": 4.415223390139588e-06,
|
| 316 |
+
"loss": 0.4299,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.8,
|
| 321 |
+
"grad_norm": 0.6282730028813539,
|
| 322 |
+
"learning_rate": 4.183113190907349e-06,
|
| 323 |
+
"loss": 0.4198,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.8399999999999999,
|
| 328 |
+
"grad_norm": 0.6824715174152934,
|
| 329 |
+
"learning_rate": 3.952798686169279e-06,
|
| 330 |
+
"loss": 0.4391,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.88,
|
| 335 |
+
"grad_norm": 0.6679676027831118,
|
| 336 |
+
"learning_rate": 3.7247861571916183e-06,
|
| 337 |
+
"loss": 0.469,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.92,
|
| 342 |
+
"grad_norm": 0.674340396045629,
|
| 343 |
+
"learning_rate": 3.4995768249982975e-06,
|
| 344 |
+
"loss": 0.4518,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.96,
|
| 349 |
+
"grad_norm": 0.7333007620608074,
|
| 350 |
+
"learning_rate": 3.2776657485783357e-06,
|
| 351 |
+
"loss": 0.4824,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 2.0,
|
| 356 |
+
"grad_norm": 0.7309087708096496,
|
| 357 |
+
"learning_rate": 3.059540736638751e-06,
|
| 358 |
+
"loss": 0.4069,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 2.04,
|
| 363 |
+
"grad_norm": 0.7051822551292913,
|
| 364 |
+
"learning_rate": 2.8456812752951483e-06,
|
| 365 |
+
"loss": 0.3536,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 2.08,
|
| 370 |
+
"grad_norm": 0.689099788100928,
|
| 371 |
+
"learning_rate": 2.636557474057173e-06,
|
| 372 |
+
"loss": 0.387,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 2.12,
|
| 377 |
+
"grad_norm": 0.6646060871398509,
|
| 378 |
+
"learning_rate": 2.4326290324257896e-06,
|
| 379 |
+
"loss": 0.3654,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 2.16,
|
| 384 |
+
"grad_norm": 0.6581663922816163,
|
| 385 |
+
"learning_rate": 2.234344229374003e-06,
|
| 386 |
+
"loss": 0.3556,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 2.2,
|
| 391 |
+
"grad_norm": 0.6153881116079951,
|
| 392 |
+
"learning_rate": 2.042138937932388e-06,
|
| 393 |
+
"loss": 0.3776,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 2.24,
|
| 398 |
+
"grad_norm": 0.6071374038319348,
|
| 399 |
+
"learning_rate": 1.856435667045577e-06,
|
| 400 |
+
"loss": 0.3705,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 2.2800000000000002,
|
| 405 |
+
"grad_norm": 0.6993574061286455,
|
| 406 |
+
"learning_rate": 1.677642632805892e-06,
|
| 407 |
+
"loss": 0.3954,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 2.32,
|
| 412 |
+
"grad_norm": 0.6193275767542719,
|
| 413 |
+
"learning_rate": 1.5061528611057917e-06,
|
| 414 |
+
"loss": 0.3456,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 2.36,
|
| 419 |
+
"grad_norm": 0.6355788571188572,
|
| 420 |
+
"learning_rate": 1.3423433236816563e-06,
|
| 421 |
+
"loss": 0.3473,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 2.4,
|
| 426 |
+
"grad_norm": 0.5948954936656425,
|
| 427 |
+
"learning_rate": 1.186574109448091e-06,
|
| 428 |
+
"loss": 0.3602,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 2.44,
|
| 433 |
+
"grad_norm": 0.64634470157691,
|
| 434 |
+
"learning_rate": 1.0391876329443534e-06,
|
| 435 |
+
"loss": 0.3689,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 2.48,
|
| 440 |
+
"grad_norm": 0.6754148904921049,
|
| 441 |
+
"learning_rate": 9.005078816328772e-07,
|
| 442 |
+
"loss": 0.3757,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 2.52,
|
| 447 |
+
"grad_norm": 0.6274024265467717,
|
| 448 |
+
"learning_rate": 7.708397037045129e-07,
|
| 449 |
+
"loss": 0.3699,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 2.56,
|
| 454 |
+
"grad_norm": 0.6201142033583393,
|
| 455 |
+
"learning_rate": 6.50468137956049e-07,
|
| 456 |
+
"loss": 0.3298,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 2.6,
|
| 461 |
+
"grad_norm": 0.6790501930611452,
|
| 462 |
+
"learning_rate": 5.396577872130676e-07,
|
| 463 |
+
"loss": 0.3964,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.64,
|
| 468 |
+
"grad_norm": 0.6401906672741758,
|
| 469 |
+
"learning_rate": 4.386522366755169e-07,
|
| 470 |
+
"loss": 0.3982,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.68,
|
| 475 |
+
"grad_norm": 0.6511102281434116,
|
| 476 |
+
"learning_rate": 3.4767351846456744e-07,
|
| 477 |
+
"loss": 0.3749,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.7199999999999998,
|
| 482 |
+
"grad_norm": 0.664712761433258,
|
| 483 |
+
"learning_rate": 2.669216235478295e-07,
|
| 484 |
+
"loss": 0.3711,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.76,
|
| 489 |
+
"grad_norm": 0.5664202074794812,
|
| 490 |
+
"learning_rate": 1.9657406211579966e-07,
|
| 491 |
+
"loss": 0.3356,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.8,
|
| 496 |
+
"grad_norm": 0.6530867966383043,
|
| 497 |
+
"learning_rate": 1.3678547337593494e-07,
|
| 498 |
+
"loss": 0.3626,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.84,
|
| 503 |
+
"grad_norm": 0.6322961093826559,
|
| 504 |
+
"learning_rate": 8.768728562211948e-08,
|
| 505 |
+
"loss": 0.3477,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.88,
|
| 510 |
+
"grad_norm": 0.5931867745636884,
|
| 511 |
+
"learning_rate": 4.9387427326745287e-08,
|
| 512 |
+
"loss": 0.3456,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.92,
|
| 517 |
+
"grad_norm": 0.6598198778563147,
|
| 518 |
+
"learning_rate": 2.1970089890509527e-08,
|
| 519 |
+
"loss": 0.3885,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.96,
|
| 524 |
+
"grad_norm": 0.6197517869539098,
|
| 525 |
+
"learning_rate": 5.495542571443135e-09,
|
| 526 |
+
"loss": 0.3517,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 3.0,
|
| 531 |
+
"grad_norm": 0.612110955289339,
|
| 532 |
+
"learning_rate": 0.0,
|
| 533 |
+
"loss": 0.3648,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 3.0,
|
| 538 |
+
"step": 75,
|
| 539 |
+
"total_flos": 20372648230912.0,
|
| 540 |
+
"train_loss": 0.4803738268216451,
|
| 541 |
+
"train_runtime": 543.6715,
|
| 542 |
+
"train_samples_per_second": 13.243,
|
| 543 |
+
"train_steps_per_second": 0.138
|
| 544 |
+
}
|
| 545 |
+
],
|
| 546 |
+
"logging_steps": 1,
|
| 547 |
+
"max_steps": 75,
|
| 548 |
+
"num_input_tokens_seen": 0,
|
| 549 |
+
"num_train_epochs": 3,
|
| 550 |
+
"save_steps": 500,
|
| 551 |
+
"stateful_callbacks": {
|
| 552 |
+
"TrainerControl": {
|
| 553 |
+
"args": {
|
| 554 |
+
"should_epoch_stop": false,
|
| 555 |
+
"should_evaluate": false,
|
| 556 |
+
"should_log": false,
|
| 557 |
+
"should_save": true,
|
| 558 |
+
"should_training_stop": true
|
| 559 |
+
},
|
| 560 |
+
"attributes": {}
|
| 561 |
+
}
|
| 562 |
+
},
|
| 563 |
+
"total_flos": 20372648230912.0,
|
| 564 |
+
"train_batch_size": 1,
|
| 565 |
+
"trial_name": null,
|
| 566 |
+
"trial_params": null
|
| 567 |
+
}
|
training_loss.png
ADDED
|