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paper-pretrained-model

Text Generation
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End of training

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Files changed (12) hide show
  1. README.md +9 -9
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar11_10-03-32_4b659b6cdde3/events.out.tfevents.1710151421.4b659b6cdde3.4115.0 +3 -0
  5. runs/Mar11_10-05-05_4b659b6cdde3/events.out.tfevents.1710151506.4b659b6cdde3.4624.0 +3 -0
  6. runs/Mar11_10-05-46_4b659b6cdde3/events.out.tfevents.1710151549.4b659b6cdde3.4624.1 +3 -0
  7. runs/Mar11_10-06-47_4b659b6cdde3/events.out.tfevents.1710151609.4b659b6cdde3.5152.0 +3 -0
  8. runs/Mar11_10-12-09_4b659b6cdde3/events.out.tfevents.1710151931.4b659b6cdde3.6600.0 +3 -0
  9. runs/Mar11_10-14-14_4b659b6cdde3/events.out.tfevents.1710152055.4b659b6cdde3.7211.0 +3 -0
  10. runs/Mar11_10-15-24_4b659b6cdde3/events.out.tfevents.1710152124.4b659b6cdde3.7559.0 +3 -0
  11. runs/Mar11_10-17-14_4b659b6cdde3/events.out.tfevents.1710152237.4b659b6cdde3.8137.0 +3 -0
  12. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: mit
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- base_model: gpt2
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # paper-pretrained-model
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5511
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  ## Model description
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@@ -35,11 +35,11 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0005
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 8
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- - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 1000
@@ -50,9 +50,9 @@ 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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- | No log | 1.0 | 165 | 5.3414 |
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- | No log | 2.0 | 330 | 3.7740 |
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- | No log | 2.99 | 495 | 2.5511 |
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: shubhamgantayat/paper-pretrained-model
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # paper-pretrained-model
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+ This model is a fine-tuned version of [shubhamgantayat/paper-pretrained-model](https://huggingface.co/shubhamgantayat/paper-pretrained-model) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3898
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0005
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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  - seed: 42
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  - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 1000
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 101 | 1.6119 |
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+ | No log | 2.0 | 202 | 1.4190 |
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+ | No log | 3.0 | 303 | 1.3898 |
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  ### Framework versions
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  "GPT2LMHeadModel"
 
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