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joshcarp
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gpt2-evy

Text Generation
Transformers
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
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  1. README.md +27 -12
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: mit
 
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  tags:
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  - generated_from_trainer
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- base_model: gpt2
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  model-index:
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  - name: gpt2-evy
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  results: []
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.2879
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  ## Model description
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@@ -46,19 +46,34 @@ 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 | 48 | 1.4347 |
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- | No log | 2.0 | 96 | 1.2810 |
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- | 1.3199 | 3.0 | 144 | 1.2442 |
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- | 1.3199 | 4.0 | 192 | 1.2476 |
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- | 0.879 | 5.0 | 240 | 1.2303 |
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- | 0.879 | 6.0 | 288 | 1.2328 |
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- | 0.7449 | 7.0 | 336 | 1.2577 |
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- | 0.7449 | 8.0 | 384 | 1.2879 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.40.2
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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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:
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  - name: gpt2-evy
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  results: []
 
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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: 0.5637
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 31 | 1.1270 |
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+ | No log | 2.0 | 62 | 0.9170 |
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+ | No log | 3.0 | 93 | 0.8410 |
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+ | 1.3727 | 4.0 | 124 | 0.7949 |
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+ | 1.3727 | 5.0 | 155 | 0.7361 |
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+ | 1.3727 | 6.0 | 186 | 0.7021 |
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+ | 0.9077 | 7.0 | 217 | 0.6789 |
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+ | 0.9077 | 8.0 | 248 | 0.6490 |
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+ | 0.9077 | 9.0 | 279 | 0.6346 |
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+ | 0.7106 | 10.0 | 310 | 0.6219 |
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+ | 0.7106 | 11.0 | 341 | 0.5986 |
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+ | 0.7106 | 12.0 | 372 | 0.5797 |
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+ | 0.5814 | 13.0 | 403 | 0.5835 |
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+ | 0.5814 | 14.0 | 434 | 0.5872 |
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+ | 0.5814 | 15.0 | 465 | 0.5741 |
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+ | 0.5814 | 16.0 | 496 | 0.5749 |
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+ | 0.4916 | 17.0 | 527 | 0.5662 |
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+ | 0.4916 | 18.0 | 558 | 0.5529 |
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+ | 0.4916 | 19.0 | 589 | 0.5672 |
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+ | 0.4005 | 20.0 | 620 | 0.5646 |
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+ | 0.4005 | 21.0 | 651 | 0.5701 |
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+ | 0.4005 | 22.0 | 682 | 0.5650 |
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+ | 0.357 | 23.0 | 713 | 0.5637 |
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  ### Framework versions
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+ - Transformers 4.41.0
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+ - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
generation_config.json CHANGED
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  "_from_model_config": true,
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  "bos_token_id": 50256,
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  "eos_token_id": 50256,
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- "transformers_version": "4.40.2"
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  }
 
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  "_from_model_config": true,
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  "bos_token_id": 50256,
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  "eos_token_id": 50256,
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+ "transformers_version": "4.41.0"
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  }
model.safetensors CHANGED
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  size 497774208
 
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