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Training complete
Browse files- README.md +4 -18
- config.json +1 -2
- model.safetensors +1 -1
- training_args.bin +2 -2
README.md
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@@ -3,8 +3,6 @@ base_model: mrm8488/electricidad-base-discriminator
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tags:
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- classification
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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: clasificador-muchocine
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results: []
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@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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# clasificador-muchocine
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This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4393
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- Accuracy: 0.4271
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## Model description
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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 | 388 | 1.3430 | 0.3961 |
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| 1.3867 | 2.0 | 776 | 1.3106 | 0.4271 |
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| 0.9656 | 3.0 | 1164 | 1.4393 | 0.4271 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1
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- Datasets 2.
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- Tokenizers 0.
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tags:
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- classification
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- generated_from_trainer
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model-index:
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- name: clasificador-muchocine
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results: []
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# clasificador-muchocine
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This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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config.json
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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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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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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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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"torch_dtype": "float32",
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"transformers_version": "4.40.0",
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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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model.safetensors
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training_args.bin
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