End of training

README.md

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+---
+license: apache-2.0
+base_model: projecte-aina/roberta-base-ca-v2-cased-te
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: hib30_0524_epoch_1
+  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. -->
+
+# hib30_0524_epoch_1
+
+This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4210
+- Accuracy: 0.939
+- Precision: 0.9395
+- Recall: 0.9390
+- F1: 0.9390
+- Ratio: 0.483
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 47
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- lr_scheduler_warmup_steps: 4
+- num_epochs: 1
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Ratio |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----:|
+| 3.0959        | 0.04  | 10   | 1.4009          | 0.676    | 0.6972    | 0.6760 | 0.6670 | 0.664 |
+| 1.1113        | 0.08  | 20   | 0.8087          | 0.762    | 0.7625    | 0.762  | 0.7619 | 0.478 |
+| 0.7612        | 0.12  | 30   | 0.6509          | 0.829    | 0.8370    | 0.829  | 0.8280 | 0.423 |
+| 0.6255        | 0.16  | 40   | 0.5520          | 0.889    | 0.8890    | 0.889  | 0.8890 | 0.497 |
+| 0.6143        | 0.2   | 50   | 0.5165          | 0.902    | 0.9020    | 0.902  | 0.9020 | 0.498 |
+| 0.5531        | 0.24  | 60   | 0.4875          | 0.914    | 0.9140    | 0.914  | 0.9140 | 0.502 |
+| 0.504         | 0.28  | 70   | 0.4794          | 0.906    | 0.9067    | 0.906  | 0.9060 | 0.52  |
+| 0.4985        | 0.32  | 80   | 0.4876          | 0.907    | 0.9090    | 0.907  | 0.9069 | 0.465 |
+| 0.5141        | 0.36  | 90   | 0.4635          | 0.916    | 0.9160    | 0.916  | 0.9160 | 0.496 |
+| 0.4829        | 0.4   | 100  | 0.4521          | 0.923    | 0.9246    | 0.923  | 0.9229 | 0.469 |
+| 0.4957        | 0.44  | 110  | 0.4505          | 0.922    | 0.9240    | 0.9220 | 0.9219 | 0.466 |
+| 0.4618        | 0.48  | 120  | 0.4377          | 0.931    | 0.9318    | 0.931  | 0.9310 | 0.479 |
+| 0.4385        | 0.52  | 130  | 0.4361          | 0.937    | 0.9370    | 0.937  | 0.9370 | 0.495 |
+| 0.4671        | 0.56  | 140  | 0.4443          | 0.925    | 0.9264    | 0.925  | 0.9249 | 0.471 |
+| 0.4563        | 0.6   | 150  | 0.4327          | 0.933    | 0.9332    | 0.933  | 0.9330 | 0.489 |
+| 0.3977        | 0.64  | 160  | 0.4369          | 0.93     | 0.9301    | 0.93   | 0.9300 | 0.494 |
+| 0.4245        | 0.68  | 170  | 0.4520          | 0.93     | 0.9328    | 0.9300 | 0.9299 | 0.46  |
+| 0.4108        | 0.72  | 180  | 0.4347          | 0.933    | 0.9331    | 0.933  | 0.9330 | 0.493 |
+| 0.4498        | 0.76  | 190  | 0.4296          | 0.93     | 0.93      | 0.93   | 0.93   | 0.5   |
+| 0.4476        | 0.8   | 200  | 0.4259          | 0.936    | 0.9363    | 0.9360 | 0.9360 | 0.486 |
+| 0.446         | 0.84  | 210  | 0.4231          | 0.936    | 0.9363    | 0.9360 | 0.9360 | 0.486 |
+| 0.4218        | 0.88  | 220  | 0.4249          | 0.94     | 0.9406    | 0.94   | 0.9400 | 0.482 |
+| 0.4645        | 0.92  | 230  | 0.4218          | 0.937    | 0.9374    | 0.937  | 0.9370 | 0.485 |
+| 0.4955        | 0.96  | 240  | 0.4212          | 0.939    | 0.9395    | 0.9390 | 0.9390 | 0.483 |
+| 0.4513        | 1.0   | 250  | 0.4210          | 0.939    | 0.9395    | 0.9390 | 0.9390 | 0.483 |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "projecte-aina/roberta-base-ca-v2-cased-te",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "finetuning_task": "mnli",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "ENTAILMENT",
+    "1": "NEUTRAL",
+    "2": "CONTRADICTION"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "CONTRADICTION": 2,
+    "ENTAILMENT": 0,
+    "NEUTRAL": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50262
+}

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special_tokens_map.json

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+{
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+    "content": "<s>",
+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
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+    "lstrip": false,
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tokenizer_config.json

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+  "add_prefix_space": true,
+  "added_tokens_decoder": {
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+  "cls_token": "<s>",
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+  "errors": "replace",
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+  "model_max_length": 512,
+  "pad_to_multiple_of": null,
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+  "padding_side": "right",
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+  "tokenizer_class": "RobertaTokenizer",
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+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}

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