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ninagroot/GPT2-705Mtest

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README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 6.3448
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  ## Model description
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@@ -32,34 +32,34 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2.5e-05
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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: 16
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- - total_train_batch_size: 128
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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: 300
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- - num_epochs: 15
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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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- | No log | 0.74 | 2 | 8.7412 |
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- | No log | 1.86 | 5 | 8.4430 |
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- | No log | 2.98 | 8 | 7.9292 |
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- | No log | 3.72 | 10 | 7.6564 |
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- | No log | 4.84 | 13 | 7.4596 |
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- | No log | 5.95 | 16 | 7.1794 |
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- | No log | 6.7 | 18 | 7.0752 |
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- | 7.7805 | 7.81 | 21 | 6.8572 |
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- | 7.7805 | 8.93 | 24 | 6.6855 |
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- | 7.7805 | 9.67 | 26 | 6.5781 |
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- | 7.7805 | 10.79 | 29 | 6.4065 |
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- | 7.7805 | 11.16 | 30 | 6.3448 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.3316
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.00025
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+ - train_batch_size: 2
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 4
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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: 100
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+ - num_epochs: 12
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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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+ | 5.8964 | 1.0 | 69 | 5.8372 |
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+ | 5.2016 | 2.0 | 138 | 5.0017 |
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+ | 4.4098 | 3.0 | 207 | 4.6658 |
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+ | 4.2459 | 4.0 | 276 | 4.5260 |
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+ | 3.9837 | 5.0 | 345 | 4.4107 |
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+ | 3.8526 | 6.0 | 414 | 4.3741 |
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+ | 3.5545 | 7.0 | 483 | 4.3328 |
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+ | 3.392 | 8.0 | 552 | 4.3175 |
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+ | 3.3396 | 9.0 | 621 | 4.3236 |
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+ | 3.0426 | 10.0 | 690 | 4.3322 |
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+ | 3.028 | 11.0 | 759 | 4.3254 |
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+ | 3.0344 | 12.0 | 828 | 4.3316 |
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  ### Framework versions
config.json CHANGED
@@ -14,7 +14,7 @@
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  "n_head": 16,
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- "n_positions": 210,
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  "resid_pdrop": 0.0,
 
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  "n_head": 16,
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  "n_inner": null,
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  "n_layer": 24,
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+ "n_positions": 256,
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  "pad_token_id": 0,
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  "reorder_and_upcast_attn": false,
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  "resid_pdrop": 0.0,
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