Model save

README.md

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+---
+license: apache-2.0
+base_model: distilroberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: modelo_entrenado_03
+  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. -->
+
+# modelo_entrenado_03
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8773
+
+## 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-08
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 2    | 3.0317          |
+| No log        | 2.0   | 4    | 3.2466          |
+| No log        | 3.0   | 6    | 2.8743          |
+| No log        | 4.0   | 8    | 3.1765          |
+| No log        | 5.0   | 10   | 2.9545          |
+| No log        | 6.0   | 12   | 2.9224          |
+| No log        | 7.0   | 14   | 2.6441          |
+| No log        | 8.0   | 16   | 3.1026          |
+| No log        | 9.0   | 18   | 2.8052          |
+| No log        | 10.0  | 20   | 2.9207          |
+| No log        | 11.0  | 22   | 2.9361          |
+| No log        | 12.0  | 24   | 3.1022          |
+| No log        | 13.0  | 26   | 2.6288          |
+| No log        | 14.0  | 28   | 2.8037          |
+| No log        | 15.0  | 30   | 2.9928          |
+| No log        | 16.0  | 32   | 3.0567          |
+| No log        | 17.0  | 34   | 2.9547          |
+| No log        | 18.0  | 36   | 2.8910          |
+| No log        | 19.0  | 38   | 3.2010          |
+| No log        | 20.0  | 40   | 3.0122          |
+| No log        | 21.0  | 42   | 2.7867          |
+| No log        | 22.0  | 44   | 3.1202          |
+| No log        | 23.0  | 46   | 3.2064          |
+| No log        | 24.0  | 48   | 2.8428          |
+| No log        | 25.0  | 50   | 2.9438          |
+| No log        | 26.0  | 52   | 3.0401          |
+| No log        | 27.0  | 54   | 2.6635          |
+| No log        | 28.0  | 56   | 2.8430          |
+| No log        | 29.0  | 58   | 2.7399          |
+| No log        | 30.0  | 60   | 3.0186          |
+| No log        | 31.0  | 62   | 2.5696          |
+| No log        | 32.0  | 64   | 2.9357          |
+| No log        | 33.0  | 66   | 3.0687          |
+| No log        | 34.0  | 68   | 2.8788          |
+| No log        | 35.0  | 70   | 3.1435          |
+| No log        | 36.0  | 72   | 3.0425          |
+| No log        | 37.0  | 74   | 3.1079          |
+| No log        | 38.0  | 76   | 3.1720          |
+| No log        | 39.0  | 78   | 2.7954          |
+| No log        | 40.0  | 80   | 3.3530          |
+| No log        | 41.0  | 82   | 3.2281          |
+| No log        | 42.0  | 84   | 2.7445          |
+| No log        | 43.0  | 86   | 3.0153          |
+| No log        | 44.0  | 88   | 2.7714          |
+| No log        | 45.0  | 90   | 2.6887          |
+| No log        | 46.0  | 92   | 2.7577          |
+| No log        | 47.0  | 94   | 2.8747          |
+| No log        | 48.0  | 96   | 3.0094          |
+| No log        | 49.0  | 98   | 3.0738          |
+| No log        | 50.0  | 100  | 3.0079          |
+
+
+### 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": "distilroberta-base",
+  "architectures": [
+    "RobertaForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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training_args.bin

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