lBober/my-model-Bertin-Sentimento

README.md

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+---
+license: cc-by-4.0
+base_model: bertin-project/bertin-roberta-base-spanish
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: my-model-Bertin-Sentimento
+  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. -->
+
+# my-model-Bertin-Sentimento
+
+This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3785
+- Accuracy: 0.8903
+
+## 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: 0.2
+- train_batch_size: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 27.7894       | 1.0   | 73   | 4.2711          | 0.8903   |
+| 21.2038       | 2.0   | 146  | 100.7602        | 0.1097   |
+| 24.6546       | 3.0   | 219  | 5.8194          | 0.8903   |
+| 12.5356       | 4.0   | 292  | 13.9993         | 0.1097   |
+| 11.6246       | 5.0   | 365  | 4.3527          | 0.8903   |
+| 9.2618        | 6.0   | 438  | 5.9925          | 0.8903   |
+| 5.2274        | 7.0   | 511  | 2.8368          | 0.8903   |
+| 6.2542        | 8.0   | 584  | 4.2015          | 0.8903   |
+| 2.461         | 9.0   | 657  | 2.3659          | 0.1097   |
+| 1.6263        | 10.0  | 730  | 0.3785          | 0.8903   |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "bertin-project/bertin-roberta-base-spanish",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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": "4.41.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50262
+}

model.safetensors

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runs/May25_10-59-00_d054577ce978/events.out.tfevents.1716634742.d054577ce978.5289.0

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training_args.bin

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