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Model save

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README.md CHANGED
@@ -14,8 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # model
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  This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 2.0231
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  ## Model description
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@@ -42,20 +40,9 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 2.3631 | 1.0 | 171 | 2.1675 |
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- | 2.3383 | 2.0 | 342 | 2.0818 |
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- | 2.1424 | 3.0 | 513 | 1.9961 |
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- | 2.1355 | 4.0 | 684 | 2.0919 |
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- | 2.1401 | 5.0 | 855 | 2.0231 |
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-
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-
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  ### Framework versions
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- - Transformers 4.41.2
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- - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  # model
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  This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on the None dataset.
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 5
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  ### Framework versions
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -18,7 +18,7 @@
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  "pad_token_id": 0,
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  "position_embedding_type": "relative_key",
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  "torch_dtype": "float32",
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- "transformers_version": "4.41.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 250002
 
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  "pad_token_id": 0,
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  "position_embedding_type": "relative_key",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.42.4",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 250002
generation_config.json CHANGED
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  }
 
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