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Se124M10KInfSimple

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  1. README.md +57 -7
  2. all_results.json +6 -6
  3. train_results.json +6 -6
README.md CHANGED
@@ -5,18 +5,18 @@ base_model: gpt2
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: Se124M10KInfDelimiter
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # Se124M10KInfDelimiter
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6812
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  ## Model description
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@@ -41,13 +41,63 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 1
 
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.4814 | 1.0 | 225 | 1.6812 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: Se124M10KInfSimple
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Se124M10KInfSimple
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5177
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 50
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+ - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.3959 | 1.0 | 237 | 0.9383 |
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+ | 0.2182 | 2.0 | 474 | 0.6835 |
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+ | 0.1772 | 3.0 | 711 | 0.6222 |
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+ | 0.1676 | 4.0 | 948 | 0.5980 |
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+ | 0.1609 | 5.0 | 1185 | 0.5840 |
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+ | 0.1519 | 6.0 | 1422 | 0.5740 |
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+ | 0.1535 | 7.0 | 1659 | 0.5659 |
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+ | 0.1492 | 8.0 | 1896 | 0.5587 |
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+ | 0.1456 | 9.0 | 2133 | 0.5575 |
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+ | 0.1427 | 10.0 | 2370 | 0.5528 |
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+ | 0.1442 | 11.0 | 2607 | 0.5499 |
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+ | 0.1403 | 12.0 | 2844 | 0.5466 |
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+ | 0.1425 | 13.0 | 3081 | 0.5449 |
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+ | 0.1403 | 14.0 | 3318 | 0.5414 |
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+ | 0.1405 | 15.0 | 3555 | 0.5399 |
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+ | 0.1387 | 16.0 | 3792 | 0.5383 |
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+ | 0.1377 | 17.0 | 4029 | 0.5368 |
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+ | 0.1379 | 18.0 | 4266 | 0.5376 |
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+ | 0.1353 | 19.0 | 4503 | 0.5349 |
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+ | 0.1378 | 20.0 | 4740 | 0.5313 |
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+ | 0.1372 | 21.0 | 4977 | 0.5320 |
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+ | 0.135 | 22.0 | 5214 | 0.5286 |
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+ | 0.1361 | 23.0 | 5451 | 0.5282 |
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+ | 0.1357 | 24.0 | 5688 | 0.5287 |
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+ | 0.1372 | 25.0 | 5925 | 0.5269 |
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+ | 0.1343 | 26.0 | 6162 | 0.5271 |
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+ | 0.1321 | 27.0 | 6399 | 0.5255 |
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+ | 0.1341 | 28.0 | 6636 | 0.5240 |
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+ | 0.1346 | 29.0 | 6873 | 0.5235 |
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+ | 0.1327 | 30.0 | 7110 | 0.5239 |
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+ | 0.1335 | 31.0 | 7347 | 0.5230 |
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+ | 0.1332 | 32.0 | 7584 | 0.5228 |
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+ | 0.1317 | 33.0 | 7821 | 0.5234 |
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+ | 0.1331 | 34.0 | 8058 | 0.5220 |
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+ | 0.1327 | 35.0 | 8295 | 0.5213 |
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+ | 0.1338 | 36.0 | 8532 | 0.5204 |
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+ | 0.1306 | 37.0 | 8769 | 0.5206 |
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+ | 0.1317 | 38.0 | 9006 | 0.5208 |
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+ | 0.1327 | 39.0 | 9243 | 0.5196 |
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+ | 0.1337 | 40.0 | 9480 | 0.5195 |
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+ | 0.1325 | 41.0 | 9717 | 0.5187 |
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+ | 0.1308 | 42.0 | 9954 | 0.5189 |
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+ | 0.1304 | 43.0 | 10191 | 0.5184 |
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+ | 0.1305 | 44.0 | 10428 | 0.5185 |
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+ | 0.1316 | 45.0 | 10665 | 0.5179 |
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+ | 0.1298 | 46.0 | 10902 | 0.5182 |
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+ | 0.1334 | 47.0 | 11139 | 0.5179 |
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+ | 0.1315 | 48.0 | 11376 | 0.5178 |
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+ | 0.131 | 49.0 | 11613 | 0.5176 |
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+ | 0.1302 | 50.0 | 11850 | 0.5177 |
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  ### Framework versions
all_results.json CHANGED
@@ -1,13 +1,13 @@
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  {
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- "epoch": 1.0,
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  "eval_loss": 1.6811754703521729,
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  "eval_runtime": 9.203,
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  "eval_samples_per_second": 163.207,
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  "eval_steps_per_second": 5.107,
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  "perplexity": 5.371866731418119,
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- "total_flos": 470383214985216.0,
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- "train_loss": 0.5362354956732855,
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- "train_runtime": 31.7388,
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- "train_samples_per_second": 226.095,
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- "train_steps_per_second": 7.089
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  }
 
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  {
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+ "epoch": 50.0,
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  "eval_loss": 1.6811754703521729,
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  "eval_runtime": 9.203,
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  "eval_samples_per_second": 163.207,
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  "eval_steps_per_second": 5.107,
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  "perplexity": 5.371866731418119,
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+ "total_flos": 2.48235958075392e+16,
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+ "train_loss": 0.14677102237814085,
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+ "train_runtime": 1298.068,
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+ "train_samples_per_second": 291.741,
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+ "train_steps_per_second": 9.129
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  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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- "epoch": 1.0,
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- "total_flos": 470383214985216.0,
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- "train_loss": 0.5362354956732855,
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- "train_runtime": 31.7388,
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- "train_samples_per_second": 226.095,
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- "train_steps_per_second": 7.089
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  }
 
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  {
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+ "epoch": 50.0,
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+ "total_flos": 2.48235958075392e+16,
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+ "train_loss": 0.14677102237814085,
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+ "train_runtime": 1298.068,
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+ "train_samples_per_second": 291.741,
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+ "train_steps_per_second": 9.129
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  }