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: 2504v1
+  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. -->
+
+# 2504v1
+
+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: 0.5947
+- Accuracy: 0.8655
+- Precision: 0.8655
+- Recall: 0.8655
+- F1: 0.8655
+- Ratio: 0.5
+
+## 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: 8
+- seed: 42
+- 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: 10
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Ratio  |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
+| 3.6209        | 0.2597 | 10   | 1.6277          | 0.5462   | 0.5476    | 0.5462 | 0.5430 | 0.4160 |
+| 1.4156        | 0.5195 | 20   | 1.0896          | 0.5588   | 0.5620    | 0.5588 | 0.5531 | 0.6134 |
+| 1.0016        | 0.7792 | 30   | 0.9251          | 0.5504   | 0.6083    | 0.5504 | 0.4811 | 0.8655 |
+| 0.9148        | 1.0390 | 40   | 0.8180          | 0.6765   | 0.6912    | 0.6765 | 0.6701 | 0.3613 |
+| 0.7958        | 1.2987 | 50   | 0.7074          | 0.7983   | 0.8038    | 0.7983 | 0.7974 | 0.5672 |
+| 0.7218        | 1.5584 | 60   | 0.6919          | 0.8025   | 0.8216    | 0.8025 | 0.7995 | 0.6218 |
+| 0.7019        | 1.8182 | 70   | 0.6693          | 0.8277   | 0.8383    | 0.8277 | 0.8264 | 0.4118 |
+| 0.6805        | 2.0779 | 80   | 0.6229          | 0.8193   | 0.8232    | 0.8193 | 0.8188 | 0.5546 |
+| 0.6206        | 2.3377 | 90   | 0.5833          | 0.8655   | 0.8665    | 0.8655 | 0.8655 | 0.4748 |
+| 0.5979        | 2.5974 | 100  | 0.5642          | 0.8613   | 0.8614    | 0.8613 | 0.8613 | 0.5042 |
+| 0.6115        | 2.8571 | 110  | 0.5634          | 0.8613   | 0.8614    | 0.8613 | 0.8613 | 0.5042 |
+| 0.6016        | 3.1169 | 120  | 0.5447          | 0.8655   | 0.8665    | 0.8655 | 0.8655 | 0.5252 |
+| 0.5514        | 3.3766 | 130  | 0.5601          | 0.8571   | 0.8588    | 0.8571 | 0.8570 | 0.5336 |
+| 0.4678        | 3.6364 | 140  | 0.5717          | 0.8445   | 0.8475    | 0.8445 | 0.8442 | 0.5462 |
+| 0.4962        | 3.8961 | 150  | 0.5684          | 0.8571   | 0.8575    | 0.8571 | 0.8571 | 0.5168 |
+| 0.5214        | 4.1558 | 160  | 0.5573          | 0.8529   | 0.8536    | 0.8529 | 0.8529 | 0.5210 |
+| 0.4962        | 4.4156 | 170  | 0.5686          | 0.8445   | 0.8475    | 0.8445 | 0.8442 | 0.5462 |
+| 0.5032        | 4.6753 | 180  | 0.5525          | 0.8613   | 0.8616    | 0.8613 | 0.8613 | 0.4874 |
+| 0.4593        | 4.9351 | 190  | 0.5747          | 0.8571   | 0.8581    | 0.8571 | 0.8571 | 0.5252 |
+| 0.4335        | 5.1948 | 200  | 0.5919          | 0.8487   | 0.8488    | 0.8487 | 0.8487 | 0.5084 |
+| 0.5023        | 5.4545 | 210  | 0.5854          | 0.8613   | 0.8626    | 0.8613 | 0.8612 | 0.4706 |
+| 0.4399        | 5.7143 | 220  | 0.5728          | 0.8697   | 0.8719    | 0.8697 | 0.8696 | 0.5378 |
+| 0.4182        | 5.9740 | 230  | 0.5737          | 0.8655   | 0.8665    | 0.8655 | 0.8655 | 0.5252 |
+| 0.4337        | 6.2338 | 240  | 0.6013          | 0.8529   | 0.8536    | 0.8529 | 0.8529 | 0.5210 |
+| 0.4046        | 6.4935 | 250  | 0.6200          | 0.8571   | 0.8575    | 0.8571 | 0.8571 | 0.5168 |
+| 0.4304        | 6.7532 | 260  | 0.6106          | 0.8697   | 0.8698    | 0.8697 | 0.8697 | 0.5042 |
+| 0.45          | 7.0130 | 270  | 0.6154          | 0.8655   | 0.8681    | 0.8655 | 0.8653 | 0.4580 |
+| 0.3687        | 7.2727 | 280  | 0.6109          | 0.8655   | 0.8655    | 0.8655 | 0.8655 | 0.5    |
+| 0.4102        | 7.5325 | 290  | 0.6118          | 0.8529   | 0.8536    | 0.8529 | 0.8529 | 0.5210 |
+| 0.4197        | 7.7922 | 300  | 0.5969          | 0.8655   | 0.8656    | 0.8655 | 0.8655 | 0.4916 |
+| 0.4874        | 8.0519 | 310  | 0.5794          | 0.8655   | 0.8656    | 0.8655 | 0.8655 | 0.4916 |
+| 0.3694        | 8.3117 | 320  | 0.5777          | 0.8697   | 0.8704    | 0.8697 | 0.8697 | 0.5210 |
+| 0.4029        | 8.5714 | 330  | 0.5828          | 0.8697   | 0.8700    | 0.8697 | 0.8697 | 0.5126 |
+| 0.3946        | 8.8312 | 340  | 0.5860          | 0.8697   | 0.8698    | 0.8697 | 0.8697 | 0.5042 |
+| 0.3991        | 9.0909 | 350  | 0.5864          | 0.8655   | 0.8655    | 0.8655 | 0.8655 | 0.5    |
+| 0.3707        | 9.3506 | 360  | 0.5918          | 0.8697   | 0.8698    | 0.8697 | 0.8697 | 0.5042 |
+| 0.3821        | 9.6104 | 370  | 0.5943          | 0.8655   | 0.8655    | 0.8655 | 0.8655 | 0.5    |
+| 0.4135        | 9.8701 | 380  | 0.5947          | 0.8655   | 0.8655    | 0.8655 | 0.8655 | 0.5    |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,40 @@
+{
+  "_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": "4.40.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50262
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d94f4078ccbd4be24fd17819ffd5511aafda6d9b0867aa580b5fa0a6debf7059
+size 498606684

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "max_len": 512,
+  "max_length": 512,
+  "model_max_length": 512,
+  "pad_to_multiple_of": null,
+  "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "</s>",
+  "stride": 0,
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}

training_args.bin

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+oid sha256:50f6210f891f6dc584442dc6d0d7f0731c3ba402d051186b4c2a8cc1aaba424c
+size 4984