Training in progress, epoch 1

README.md

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+---
+base_model: finiteautomata/beto-sentiment-analysis
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: beto-sentiment-analysis-finetuned-detests-wandb24
+  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. -->
+
+# beto-sentiment-analysis-finetuned-detests-wandb24
+
+This model is a fine-tuned version of [finiteautomata/beto-sentiment-analysis](https://huggingface.co/finiteautomata/beto-sentiment-analysis) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6204
+- Accuracy: 0.8674
+- F1-score: 0.7993
+- Precision: 0.8225
+- Recall: 0.7822
+- Auc: 0.7822
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
+| 0.393         | 1.0   | 77   | 0.3365          | 0.8592   | 0.7633   | 0.8424    | 0.7287 | 0.7287 |
+| 0.1947        | 2.0   | 154  | 0.3843          | 0.8396   | 0.7845   | 0.7716    | 0.8023 | 0.8023 |
+| 0.0597        | 3.0   | 231  | 0.5486          | 0.8740   | 0.8046   | 0.8398    | 0.7814 | 0.7814 |
+| 0.0028        | 4.0   | 308  | 0.6204          | 0.8674   | 0.7993   | 0.8225    | 0.7822 | 0.7822 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

added_tokens.json

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config.json

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+  "problem_type": "single_label_classification",
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+  "summary_type": "first",
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+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
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+  "use_cache": true,
+  "vocab_size": 30522
+}

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special_tokens_map.json

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tokenizer_config.json

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