marcelovidigal
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Parent(s):
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End of training
Browse files- README.md +64 -0
- config.json +41 -0
- model.safetensors +3 -0
- runs/Sep25_17-32-26_mace10/events.out.tfevents.1727296347.mace10.26996.1 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: google-bert/bert-base-cased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: ajuste_fino_modelo_hugging_face_v1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mvgdr/retrieval_augmented_generation/runs/71w0h311)
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mvgdr/retrieval_augmented_generation/runs/lznoioyu)
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# ajuste_fino_modelo_hugging_face_v1
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This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0233
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- Accuracy: 0.582
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 125 | 1.4843 | 0.345 |
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| No log | 2.0 | 250 | 1.0617 | 0.559 |
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| No log | 3.0 | 375 | 1.0233 | 0.582 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.4.1+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "google-bert/bert-base-cased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.42.4",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b06bf58c415d4709ecac70c87e9d5672b5f6900bf71acec431601ebed14ed320
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size 433279996
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runs/Sep25_17-32-26_mace10/events.out.tfevents.1727296347.mace10.26996.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b2c98792fd51ba619a055a66203dcad24a20869d0560eeb9fe6bc256f1d3580
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size 6774
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c1ab86f8fb8dc697e75a4f7b973ead67dd3736dc8b9668a92ee01aa067d159c
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size 5560
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