End of training

README.md

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+---
+base_model: pysentimiento/robertuito-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- recall
+- accuracy
+model-index:
+- name: robertuito-allData-finetuned-class
+  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. -->
+
+# robertuito-allData-finetuned-class
+
+This model is a fine-tuned version of [pysentimiento/robertuito-base-uncased](https://huggingface.co/pysentimiento/robertuito-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6512
+- F1: 0.7470
+- Recall: 0.7524
+- Accuracy: 0.7677
+
+## 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: 2.989919952299843e-05
+- train_batch_size: 64
+- eval_batch_size: 32
+- seed: 15
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Recall | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 103  | 0.6829          | 0.7074 | 0.7162 | 0.7399   |
+| No log        | 2.0   | 206  | 0.6096          | 0.7326 | 0.7250 | 0.7632   |
+| No log        | 3.0   | 309  | 0.6512          | 0.7470 | 0.7524 | 0.7677   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "pysentimiento/robertuito-base-uncased",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 130,
+  "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": "4.36.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 30000
+}

model.safetensors

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+oid sha256:094968e7e8cb06ef3cbcf6b66d9737851277c3761abe98bffe8da59059a74c76
+size 435188308

training_args.bin

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