Model save
Browse files- README.md +101 -0
- generation_config.json +5 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: neuralmind/bert-base-portuguese-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: e3_lr2e-05
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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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# e3_lr2e-05
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This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5721
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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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
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.2771 | 0.0707 | 100 | 1.9875 |
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| 2.0486 | 0.1414 | 200 | 1.8946 |
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| 1.993 | 0.2121 | 300 | 1.8415 |
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| 1.9532 | 0.2828 | 400 | 1.8133 |
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| 1.9145 | 0.3535 | 500 | 1.7807 |
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| 1.8872 | 0.4242 | 600 | 1.7534 |
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| 1.8593 | 0.4949 | 700 | 1.7357 |
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| 1.8447 | 0.5656 | 800 | 1.7173 |
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| 1.8149 | 0.6363 | 900 | 1.7074 |
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| 1.7966 | 0.7070 | 1000 | 1.7036 |
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| 1.8034 | 0.7777 | 1100 | 1.6883 |
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| 1.7854 | 0.8484 | 1200 | 1.6740 |
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| 1.7779 | 0.9191 | 1300 | 1.6642 |
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| 1.7706 | 0.9897 | 1400 | 1.6582 |
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| 1.7723 | 1.0604 | 1500 | 1.6475 |
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| 1.746 | 1.1311 | 1600 | 1.6463 |
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| 1.7386 | 1.2018 | 1700 | 1.6399 |
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| 1.7319 | 1.2725 | 1800 | 1.6385 |
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| 1.7292 | 1.3432 | 1900 | 1.6230 |
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| 1.7121 | 1.4139 | 2000 | 1.6204 |
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| 1.7245 | 1.4846 | 2100 | 1.6152 |
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| 1.7159 | 1.5553 | 2200 | 1.6103 |
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| 1.7232 | 1.6260 | 2300 | 1.6114 |
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| 1.6952 | 1.6967 | 2400 | 1.6099 |
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| 1.6944 | 1.7674 | 2500 | 1.6012 |
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| 1.6991 | 1.8381 | 2600 | 1.5970 |
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| 1.6954 | 1.9088 | 2700 | 1.5933 |
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| 1.698 | 1.9795 | 2800 | 1.5918 |
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| 1.6857 | 2.0502 | 2900 | 1.5915 |
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| 1.6783 | 2.1209 | 3000 | 1.5840 |
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| 1.679 | 2.1916 | 3100 | 1.5817 |
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| 1.6796 | 2.2623 | 3200 | 1.5835 |
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| 1.6709 | 2.3330 | 3300 | 1.5769 |
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| 1.6626 | 2.4037 | 3400 | 1.5819 |
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| 1.6732 | 2.4744 | 3500 | 1.5824 |
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| 1.6726 | 2.5458 | 3600 | 1.5720 |
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| 1.6822 | 2.6165 | 3700 | 1.5758 |
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| 1.6578 | 2.6872 | 3800 | 1.5739 |
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| 1.6756 | 2.7579 | 3900 | 1.5743 |
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| 1.6747 | 2.8286 | 4000 | 1.5695 |
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| 1.659 | 2.8993 | 4100 | 1.5713 |
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| 1.6587 | 2.9700 | 4200 | 1.5750 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.41.2"
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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:
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size 435841560
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f7ac62dc10a7a4a570fdddae9b9e54b126aec3aba6babb7698bf5cdf25c4b51
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size 435841560
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