End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +9 -0
- trainer_state.json +397 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 17 |
|
| 18 |
# test
|
| 19 |
|
| 20 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
-
- Loss: 0.
|
| 23 |
-
- Num Input Tokens Seen:
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
|
|
| 17 |
|
| 18 |
# test
|
| 19 |
|
| 20 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the wsc dataset.
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.3497
|
| 23 |
+
- Num Input Tokens Seen: 49376
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"eval_loss": 0.3496828079223633,
|
| 4 |
+
"eval_runtime": 1.4986,
|
| 5 |
+
"eval_samples_per_second": 37.369,
|
| 6 |
+
"eval_steps_per_second": 9.342,
|
| 7 |
+
"num_input_tokens_seen": 49376,
|
| 8 |
+
"total_flos": 2223378963628032.0,
|
| 9 |
+
"train_loss": 1.100914571762085,
|
| 10 |
+
"train_runtime": 86.254,
|
| 11 |
+
"train_samples_per_second": 5.774,
|
| 12 |
+
"train_steps_per_second": 1.449
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"eval_loss": 0.3496828079223633,
|
| 4 |
+
"eval_runtime": 1.4986,
|
| 5 |
+
"eval_samples_per_second": 37.369,
|
| 6 |
+
"eval_steps_per_second": 9.342,
|
| 7 |
+
"num_input_tokens_seen": 49376
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"num_input_tokens_seen": 49376,
|
| 4 |
+
"total_flos": 2223378963628032.0,
|
| 5 |
+
"train_loss": 1.100914571762085,
|
| 6 |
+
"train_runtime": 86.254,
|
| 7 |
+
"train_samples_per_second": 5.774,
|
| 8 |
+
"train_steps_per_second": 1.449
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,397 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 98,
|
| 3 |
+
"best_metric": 0.3496828079223633,
|
| 4 |
+
"best_model_checkpoint": "saves/test/checkpoint-98",
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 7,
|
| 7 |
+
"global_step": 125,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.04,
|
| 14 |
+
"grad_norm": 396.0,
|
| 15 |
+
"learning_rate": 0.009230769230769232,
|
| 16 |
+
"loss": 3.6273,
|
| 17 |
+
"num_input_tokens_seen": 2144,
|
| 18 |
+
"step": 5
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 0.056,
|
| 22 |
+
"eval_loss": 6.932018280029297,
|
| 23 |
+
"eval_runtime": 1.4196,
|
| 24 |
+
"eval_samples_per_second": 39.449,
|
| 25 |
+
"eval_steps_per_second": 9.862,
|
| 26 |
+
"num_input_tokens_seen": 2880,
|
| 27 |
+
"step": 7
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.08,
|
| 31 |
+
"grad_norm": 22.5,
|
| 32 |
+
"learning_rate": 0.02076923076923077,
|
| 33 |
+
"loss": 6.3813,
|
| 34 |
+
"num_input_tokens_seen": 4128,
|
| 35 |
+
"step": 10
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"epoch": 0.112,
|
| 39 |
+
"eval_loss": 1.6227623224258423,
|
| 40 |
+
"eval_runtime": 1.3856,
|
| 41 |
+
"eval_samples_per_second": 40.417,
|
| 42 |
+
"eval_steps_per_second": 10.104,
|
| 43 |
+
"num_input_tokens_seen": 5920,
|
| 44 |
+
"step": 14
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.12,
|
| 48 |
+
"grad_norm": 9.9375,
|
| 49 |
+
"learning_rate": 0.029994099395745794,
|
| 50 |
+
"loss": 2.5342,
|
| 51 |
+
"num_input_tokens_seen": 6240,
|
| 52 |
+
"step": 15
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.16,
|
| 56 |
+
"grad_norm": 0.9140625,
|
| 57 |
+
"learning_rate": 0.029788065277773536,
|
| 58 |
+
"loss": 1.4507,
|
| 59 |
+
"num_input_tokens_seen": 8096,
|
| 60 |
+
"step": 20
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.168,
|
| 64 |
+
"eval_loss": 0.4040253460407257,
|
| 65 |
+
"eval_runtime": 1.3702,
|
| 66 |
+
"eval_samples_per_second": 40.869,
|
| 67 |
+
"eval_steps_per_second": 10.217,
|
| 68 |
+
"num_input_tokens_seen": 8416,
|
| 69 |
+
"step": 21
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.2,
|
| 73 |
+
"grad_norm": 1.140625,
|
| 74 |
+
"learning_rate": 0.02929162684084344,
|
| 75 |
+
"loss": 1.7771,
|
| 76 |
+
"num_input_tokens_seen": 10112,
|
| 77 |
+
"step": 25
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.224,
|
| 81 |
+
"eval_loss": 3.618654489517212,
|
| 82 |
+
"eval_runtime": 1.3779,
|
| 83 |
+
"eval_samples_per_second": 40.642,
|
| 84 |
+
"eval_steps_per_second": 10.161,
|
| 85 |
+
"num_input_tokens_seen": 11264,
|
| 86 |
+
"step": 28
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.24,
|
| 90 |
+
"grad_norm": 103.5,
|
| 91 |
+
"learning_rate": 0.028514533018536285,
|
| 92 |
+
"loss": 3.7935,
|
| 93 |
+
"num_input_tokens_seen": 12032,
|
| 94 |
+
"step": 30
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.28,
|
| 98 |
+
"grad_norm": 0.12060546875,
|
| 99 |
+
"learning_rate": 0.02747204418453818,
|
| 100 |
+
"loss": 0.7848,
|
| 101 |
+
"num_input_tokens_seen": 13824,
|
| 102 |
+
"step": 35
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 0.28,
|
| 106 |
+
"eval_loss": 0.36673951148986816,
|
| 107 |
+
"eval_runtime": 1.3899,
|
| 108 |
+
"eval_samples_per_second": 40.29,
|
| 109 |
+
"eval_steps_per_second": 10.072,
|
| 110 |
+
"num_input_tokens_seen": 13824,
|
| 111 |
+
"step": 35
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.32,
|
| 115 |
+
"grad_norm": 0.11083984375,
|
| 116 |
+
"learning_rate": 0.026184632473247482,
|
| 117 |
+
"loss": 0.4314,
|
| 118 |
+
"num_input_tokens_seen": 15840,
|
| 119 |
+
"step": 40
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.336,
|
| 123 |
+
"eval_loss": 0.3661668598651886,
|
| 124 |
+
"eval_runtime": 1.3878,
|
| 125 |
+
"eval_samples_per_second": 40.353,
|
| 126 |
+
"eval_steps_per_second": 10.088,
|
| 127 |
+
"num_input_tokens_seen": 16672,
|
| 128 |
+
"step": 42
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.36,
|
| 132 |
+
"grad_norm": 0.251953125,
|
| 133 |
+
"learning_rate": 0.024677579753131316,
|
| 134 |
+
"loss": 0.4096,
|
| 135 |
+
"num_input_tokens_seen": 17920,
|
| 136 |
+
"step": 45
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.392,
|
| 140 |
+
"eval_loss": 0.5265085101127625,
|
| 141 |
+
"eval_runtime": 1.3816,
|
| 142 |
+
"eval_samples_per_second": 40.532,
|
| 143 |
+
"eval_steps_per_second": 10.133,
|
| 144 |
+
"num_input_tokens_seen": 19296,
|
| 145 |
+
"step": 49
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 0.4,
|
| 149 |
+
"grad_norm": 0.07373046875,
|
| 150 |
+
"learning_rate": 0.022980481147730047,
|
| 151 |
+
"loss": 0.2423,
|
| 152 |
+
"num_input_tokens_seen": 19712,
|
| 153 |
+
"step": 50
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.44,
|
| 157 |
+
"grad_norm": 0.150390625,
|
| 158 |
+
"learning_rate": 0.021126663854039943,
|
| 159 |
+
"loss": 0.5554,
|
| 160 |
+
"num_input_tokens_seen": 21952,
|
| 161 |
+
"step": 55
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 0.448,
|
| 165 |
+
"eval_loss": 0.39251771569252014,
|
| 166 |
+
"eval_runtime": 1.3876,
|
| 167 |
+
"eval_samples_per_second": 40.359,
|
| 168 |
+
"eval_steps_per_second": 10.09,
|
| 169 |
+
"num_input_tokens_seen": 22432,
|
| 170 |
+
"step": 56
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.48,
|
| 174 |
+
"grad_norm": 0.1513671875,
|
| 175 |
+
"learning_rate": 0.01915253267137274,
|
| 176 |
+
"loss": 0.4968,
|
| 177 |
+
"num_input_tokens_seen": 24160,
|
| 178 |
+
"step": 60
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.504,
|
| 182 |
+
"eval_loss": 2.652535915374756,
|
| 183 |
+
"eval_runtime": 1.3806,
|
| 184 |
+
"eval_samples_per_second": 40.562,
|
| 185 |
+
"eval_steps_per_second": 10.141,
|
| 186 |
+
"num_input_tokens_seen": 25504,
|
| 187 |
+
"step": 63
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 0.52,
|
| 191 |
+
"grad_norm": 10.0625,
|
| 192 |
+
"learning_rate": 0.017096855093032493,
|
| 193 |
+
"loss": 0.7728,
|
| 194 |
+
"num_input_tokens_seen": 26112,
|
| 195 |
+
"step": 65
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.56,
|
| 199 |
+
"grad_norm": 0.189453125,
|
| 200 |
+
"learning_rate": 0.015,
|
| 201 |
+
"loss": 0.3298,
|
| 202 |
+
"num_input_tokens_seen": 28064,
|
| 203 |
+
"step": 70
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 0.56,
|
| 207 |
+
"eval_loss": 0.37763792276382446,
|
| 208 |
+
"eval_runtime": 1.3741,
|
| 209 |
+
"eval_samples_per_second": 40.753,
|
| 210 |
+
"eval_steps_per_second": 10.188,
|
| 211 |
+
"num_input_tokens_seen": 28064,
|
| 212 |
+
"step": 70
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.6,
|
| 216 |
+
"grad_norm": 0.12060546875,
|
| 217 |
+
"learning_rate": 0.012903144906967513,
|
| 218 |
+
"loss": 0.3663,
|
| 219 |
+
"num_input_tokens_seen": 29824,
|
| 220 |
+
"step": 75
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.616,
|
| 224 |
+
"eval_loss": 0.36274200677871704,
|
| 225 |
+
"eval_runtime": 1.4269,
|
| 226 |
+
"eval_samples_per_second": 39.245,
|
| 227 |
+
"eval_steps_per_second": 9.811,
|
| 228 |
+
"num_input_tokens_seen": 30720,
|
| 229 |
+
"step": 77
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 0.64,
|
| 233 |
+
"grad_norm": 0.142578125,
|
| 234 |
+
"learning_rate": 0.01084746732862726,
|
| 235 |
+
"loss": 0.3654,
|
| 236 |
+
"num_input_tokens_seen": 31904,
|
| 237 |
+
"step": 80
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.672,
|
| 241 |
+
"eval_loss": 0.35259029269218445,
|
| 242 |
+
"eval_runtime": 1.4343,
|
| 243 |
+
"eval_samples_per_second": 39.044,
|
| 244 |
+
"eval_steps_per_second": 9.761,
|
| 245 |
+
"num_input_tokens_seen": 33504,
|
| 246 |
+
"step": 84
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.68,
|
| 250 |
+
"grad_norm": 0.08349609375,
|
| 251 |
+
"learning_rate": 0.008873336145960059,
|
| 252 |
+
"loss": 0.3696,
|
| 253 |
+
"num_input_tokens_seen": 33984,
|
| 254 |
+
"step": 85
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.72,
|
| 258 |
+
"grad_norm": 0.039306640625,
|
| 259 |
+
"learning_rate": 0.007019518852269953,
|
| 260 |
+
"loss": 0.3495,
|
| 261 |
+
"num_input_tokens_seen": 35776,
|
| 262 |
+
"step": 90
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.728,
|
| 266 |
+
"eval_loss": 0.3546493351459503,
|
| 267 |
+
"eval_runtime": 1.4075,
|
| 268 |
+
"eval_samples_per_second": 39.786,
|
| 269 |
+
"eval_steps_per_second": 9.946,
|
| 270 |
+
"num_input_tokens_seen": 36128,
|
| 271 |
+
"step": 91
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.76,
|
| 275 |
+
"grad_norm": 0.017578125,
|
| 276 |
+
"learning_rate": 0.005322420246868689,
|
| 277 |
+
"loss": 0.412,
|
| 278 |
+
"num_input_tokens_seen": 37472,
|
| 279 |
+
"step": 95
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.784,
|
| 283 |
+
"eval_loss": 0.3496828079223633,
|
| 284 |
+
"eval_runtime": 1.4395,
|
| 285 |
+
"eval_samples_per_second": 38.902,
|
| 286 |
+
"eval_steps_per_second": 9.726,
|
| 287 |
+
"num_input_tokens_seen": 38592,
|
| 288 |
+
"step": 98
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 0.8,
|
| 292 |
+
"grad_norm": 0.02734375,
|
| 293 |
+
"learning_rate": 0.003815367526752516,
|
| 294 |
+
"loss": 0.3676,
|
| 295 |
+
"num_input_tokens_seen": 39328,
|
| 296 |
+
"step": 100
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.84,
|
| 300 |
+
"grad_norm": 0.047607421875,
|
| 301 |
+
"learning_rate": 0.0025279558154618197,
|
| 302 |
+
"loss": 0.349,
|
| 303 |
+
"num_input_tokens_seen": 41280,
|
| 304 |
+
"step": 105
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.84,
|
| 308 |
+
"eval_loss": 0.35384148359298706,
|
| 309 |
+
"eval_runtime": 1.4061,
|
| 310 |
+
"eval_samples_per_second": 39.827,
|
| 311 |
+
"eval_steps_per_second": 9.957,
|
| 312 |
+
"num_input_tokens_seen": 41280,
|
| 313 |
+
"step": 105
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.88,
|
| 317 |
+
"grad_norm": 0.037841796875,
|
| 318 |
+
"learning_rate": 0.0014854669814637145,
|
| 319 |
+
"loss": 0.3482,
|
| 320 |
+
"num_input_tokens_seen": 43552,
|
| 321 |
+
"step": 110
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.896,
|
| 325 |
+
"eval_loss": 0.3565780818462372,
|
| 326 |
+
"eval_runtime": 1.4483,
|
| 327 |
+
"eval_samples_per_second": 38.666,
|
| 328 |
+
"eval_steps_per_second": 9.666,
|
| 329 |
+
"num_input_tokens_seen": 44160,
|
| 330 |
+
"step": 112
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.92,
|
| 334 |
+
"grad_norm": 0.040283203125,
|
| 335 |
+
"learning_rate": 0.000708373159156555,
|
| 336 |
+
"loss": 0.3258,
|
| 337 |
+
"num_input_tokens_seen": 45216,
|
| 338 |
+
"step": 115
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.952,
|
| 342 |
+
"eval_loss": 0.35846200585365295,
|
| 343 |
+
"eval_runtime": 1.4597,
|
| 344 |
+
"eval_samples_per_second": 38.364,
|
| 345 |
+
"eval_steps_per_second": 9.591,
|
| 346 |
+
"num_input_tokens_seen": 46944,
|
| 347 |
+
"step": 119
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 0.96,
|
| 351 |
+
"grad_norm": 0.0189208984375,
|
| 352 |
+
"learning_rate": 0.0002119347222264617,
|
| 353 |
+
"loss": 0.3217,
|
| 354 |
+
"num_input_tokens_seen": 47360,
|
| 355 |
+
"step": 120
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 1.0,
|
| 359 |
+
"grad_norm": 0.0859375,
|
| 360 |
+
"learning_rate": 5.90060425420702e-06,
|
| 361 |
+
"loss": 0.3608,
|
| 362 |
+
"num_input_tokens_seen": 49376,
|
| 363 |
+
"step": 125
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 1.0,
|
| 367 |
+
"num_input_tokens_seen": 49376,
|
| 368 |
+
"step": 125,
|
| 369 |
+
"total_flos": 2223378963628032.0,
|
| 370 |
+
"train_loss": 1.100914571762085,
|
| 371 |
+
"train_runtime": 86.254,
|
| 372 |
+
"train_samples_per_second": 5.774,
|
| 373 |
+
"train_steps_per_second": 1.449
|
| 374 |
+
}
|
| 375 |
+
],
|
| 376 |
+
"logging_steps": 5,
|
| 377 |
+
"max_steps": 125,
|
| 378 |
+
"num_input_tokens_seen": 49376,
|
| 379 |
+
"num_train_epochs": 1,
|
| 380 |
+
"save_steps": 7,
|
| 381 |
+
"stateful_callbacks": {
|
| 382 |
+
"TrainerControl": {
|
| 383 |
+
"args": {
|
| 384 |
+
"should_epoch_stop": false,
|
| 385 |
+
"should_evaluate": false,
|
| 386 |
+
"should_log": false,
|
| 387 |
+
"should_save": true,
|
| 388 |
+
"should_training_stop": true
|
| 389 |
+
},
|
| 390 |
+
"attributes": {}
|
| 391 |
+
}
|
| 392 |
+
},
|
| 393 |
+
"total_flos": 2223378963628032.0,
|
| 394 |
+
"train_batch_size": 4,
|
| 395 |
+
"trial_name": null,
|
| 396 |
+
"trial_params": null
|
| 397 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|