End of training

README.md

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+---
+license: apache-2.0
+base_model: cross-encoder/nli-roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: contract_nli_roberta
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# contract_nli_roberta
+
+This model is a fine-tuned version of [cross-encoder/nli-roberta-base](https://huggingface.co/cross-encoder/nli-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4536
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6326        | 1.0   | 853  | 0.4608          |
+| 0.7528        | 2.0   | 1706 | 0.5740          |
+| 0.5855        | 3.0   | 2559 | 0.4536          |
+| 0.239         | 4.0   | 3412 | 0.5224          |
+| 0.2611        | 5.0   | 4265 | 0.5332          |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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special_tokens_map.json

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+  "cls_token": "<s>",
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+  "mask_token": {
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+    "single_word": false
+  },
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+  "unk_token": "<unk>"
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tokenizer_config.json

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+  "added_tokens_decoder": {
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+  "errors": "replace",
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+  "model_max_length": 512,
+  "pad_token": "<pad>",
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+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}