Upload 28 files
Browse files- BETo-t-MMG/README.md +61 -0
- BETo-t-MMG/checkpoint-102/config.json +28 -0
- BETo-t-MMG/checkpoint-102/optimizer.pt +3 -0
- BETo-t-MMG/checkpoint-102/pytorch_model.bin +3 -0
- BETo-t-MMG/checkpoint-102/rng_state.pth +3 -0
- BETo-t-MMG/checkpoint-102/scheduler.pt +3 -0
- BETo-t-MMG/checkpoint-102/trainer_state.json +43 -0
- BETo-t-MMG/checkpoint-102/training_args.bin +3 -0
- BETo-t-MMG/checkpoint-34/config.json +28 -0
- BETo-t-MMG/checkpoint-34/optimizer.pt +3 -0
- BETo-t-MMG/checkpoint-34/pytorch_model.bin +3 -0
- BETo-t-MMG/checkpoint-34/rng_state.pth +3 -0
- BETo-t-MMG/checkpoint-34/scheduler.pt +3 -0
- BETo-t-MMG/checkpoint-34/trainer_state.json +25 -0
- BETo-t-MMG/checkpoint-34/training_args.bin +3 -0
- BETo-t-MMG/checkpoint-68/config.json +28 -0
- BETo-t-MMG/checkpoint-68/optimizer.pt +3 -0
- BETo-t-MMG/checkpoint-68/pytorch_model.bin +3 -0
- BETo-t-MMG/checkpoint-68/rng_state.pth +3 -0
- BETo-t-MMG/checkpoint-68/scheduler.pt +3 -0
- BETo-t-MMG/checkpoint-68/trainer_state.json +34 -0
- BETo-t-MMG/checkpoint-68/training_args.bin +3 -0
- BETo-t-MMG/config.json +28 -0
- BETo-t-MMG/pytorch_model.bin +3 -0
- BETo-t-MMG/runs/Aug10_14-24-07_practicas/events.out.tfevents.1691670266.practicas.2806898.0 +3 -0
- BETo-t-MMG/runs/Aug10_14-27-12_practicas/events.out.tfevents.1691670447.practicas.2809327.0 +3 -0
- BETo-t-MMG/runs/Aug10_14-27-12_practicas/events.out.tfevents.1691670944.practicas.2809327.1 +3 -0
- BETo-t-MMG/training_args.bin +3 -0
BETo-t-MMG/README.md
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---
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base_model: dccuchile/bert-base-spanish-wwm-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: BETo-t-MMG
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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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# BETo-t-MMG
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4422
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- Accuracy: 0.8030
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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: 10
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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 | 34 | 0.4422 | 0.8030 |
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| No log | 2.0 | 68 | 0.5717 | 0.8636 |
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| No log | 3.0 | 102 | 0.8172 | 0.8636 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.0
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- Tokenizers 0.13.3
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BETo-t-MMG/checkpoint-102/config.json
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{
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"_name_or_path": "dccuchile/bert-base-spanish-wwm-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_size": 768,
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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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"output_past": true,
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"pad_token_id": 1,
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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": "4.31.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31002
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}
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BETo-t-MMG/checkpoint-102/trainer_state.json
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BETo-t-MMG/checkpoint-102/training_args.bin
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BETo-t-MMG/checkpoint-34/config.json
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{
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}
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BETo-t-MMG/checkpoint-34/optimizer.pt
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