augustocsc commited on
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Model save

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  1. README.md +6 -6
  2. all_results.json +5 -5
  3. train_results.json +5 -5
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: Se124M500KInfDelimiter
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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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- # Se124M500KInfDelimiter
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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: 0.5132
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  ## Model description
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@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.1376 | 1.0 | 7890 | 0.5302 |
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- | 0.1321 | 2.0 | 15780 | 0.5167 |
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- | 0.131 | 3.0 | 23670 | 0.5132 |
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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: Se124M500KInfMinimalist
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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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+ # Se124M500KInfMinimalist
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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: 0.5700
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.1527 | 1.0 | 7035 | 0.5857 |
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+ | 0.1485 | 2.0 | 14070 | 0.5736 |
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+ | 0.1468 | 3.0 | 21105 | 0.5700 |
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  ### Framework versions
all_results.json CHANGED
@@ -5,9 +5,9 @@
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  "eval_samples_per_second": 157.138,
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  "eval_steps_per_second": 4.912,
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  "perplexity": 1.670611111648889,
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- "total_flos": 4.96443074370601e+16,
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- "train_loss": 0.1418354825324835,
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- "train_runtime": 2430.2542,
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- "train_samples_per_second": 311.637,
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- "train_steps_per_second": 9.74
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  }
 
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  "eval_samples_per_second": 157.138,
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  "eval_steps_per_second": 4.912,
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  "perplexity": 1.670611111648889,
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+ "total_flos": 4.426734746743603e+16,
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+ "train_loss": 0.15721422936277518,
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+ "train_runtime": 2145.6584,
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+ "train_samples_per_second": 314.741,
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+ "train_steps_per_second": 9.836
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  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "epoch": 3.0,
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- "total_flos": 4.96443074370601e+16,
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- "train_loss": 0.1418354825324835,
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- "train_runtime": 2430.2542,
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- "train_samples_per_second": 311.637,
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- "train_steps_per_second": 9.74
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  }
 
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  {
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  "epoch": 3.0,
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+ "total_flos": 4.426734746743603e+16,
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+ "train_loss": 0.15721422936277518,
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+ "train_runtime": 2145.6584,
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+ "train_samples_per_second": 314.741,
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+ "train_steps_per_second": 9.836
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  }