Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/deberta-v3-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: deberta-v3-large-csb
+  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. -->
+
+# deberta-v3-large-csb
+
+This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4315
+- Accuracy: 0.8725
+- F1: 0.8724
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.4204        | 1.0   | 455  | 0.4447          | 0.7978   | 0.7908 |
+| 0.2772        | 2.0   | 910  | 0.3623          | 0.8484   | 0.8484 |
+| 0.3451        | 3.0   | 1365 | 0.4462          | 0.8593   | 0.8587 |
+| 0.2596        | 4.0   | 1820 | 0.4315          | 0.8725   | 0.8724 |
+| 0.1125        | 5.0   | 2275 | 0.6506          | 0.8593   | 0.8587 |
+| 0.1344        | 6.0   | 2730 | 0.6835          | 0.8549   | 0.8541 |
+| 0.108         | 7.0   | 3185 | 0.7018          | 0.8659   | 0.8656 |
+| 0.0229        | 8.0   | 3640 | 0.8865          | 0.8681   | 0.8680 |
+| 0.0459        | 9.0   | 4095 | 0.9492          | 0.8571   | 0.8570 |
+| 0.0043        | 10.0  | 4550 | 0.9753          | 0.8681   | 0.8679 |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.2.1
+- Datasets 4.4.1
+- Tokenizers 0.22.1

deberta-v3-large_best/added_tokens.json

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+}

deberta-v3-large_best/config.json

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+{
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 1,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Rejected",
+    "1": "Accepted"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "Accepted": 1,
+    "Rejected": 0
+  },
+  "layer_norm_eps": 1e-07,
+  "legacy": true,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 1024,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "transformers_version": "4.57.3",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

deberta-v3-large_best/model.safetensors

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deberta-v3-large_best/special_tokens_map.json

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deberta-v3-large_best/spm.model

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deberta-v3-large_best/tokenizer_config.json

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+  "clean_up_tokenization_spaces": false,
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+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "split_by_punct": false,
+  "tokenizer_class": "DebertaV2Tokenizer",
+  "unk_token": "[UNK]",
+  "vocab_type": "spm"
+}

deberta-v3-large_best/training_args.bin

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