Commit
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a28b44a
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Parent(s):
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End of training
Browse files- README.md +79 -0
- model.safetensors +1 -1
README.md
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---
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base_model: ixa-ehu/berteus-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: MT_authorship_new
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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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# MT_authorship_new
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This model is a fine-tuned version of [ixa-ehu/berteus-base-cased](https://huggingface.co/ixa-ehu/berteus-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6223
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- Accuracy: 0.6675
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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: 64
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- eval_batch_size: 64
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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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- training_steps: 63715
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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 | Accuracy |
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|:-------------:|:------:|:-----:|:---------------:|:--------:|
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| 0.6354 | 0.2499 | 3185 | 0.6264 | 0.6229 |
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| 0.6219 | 0.4998 | 6370 | 0.6111 | 0.6345 |
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| 0.611 | 0.7498 | 9555 | 0.6004 | 0.6415 |
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| 0.6091 | 0.9997 | 12740 | 0.5952 | 0.6466 |
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| 0.5745 | 1.2496 | 15925 | 0.5926 | 0.6520 |
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| 0.5753 | 1.4995 | 19110 | 0.5891 | 0.6543 |
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| 0.5749 | 1.7495 | 22295 | 0.5908 | 0.6573 |
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| 0.5741 | 1.9994 | 25480 | 0.5822 | 0.6605 |
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| 0.5424 | 2.2493 | 28665 | 0.5911 | 0.6603 |
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| 0.5384 | 2.4992 | 31850 | 0.5893 | 0.6625 |
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| 0.5367 | 2.7491 | 35035 | 0.5872 | 0.6621 |
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| 0.5445 | 2.9991 | 38220 | 0.5846 | 0.6656 |
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| 0.5069 | 3.2490 | 41405 | 0.6050 | 0.6652 |
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| 0.5048 | 3.4989 | 44590 | 0.6013 | 0.6667 |
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| 0.5129 | 3.7488 | 47775 | 0.6100 | 0.6660 |
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| 0.5042 | 3.9987 | 50960 | 0.6020 | 0.6672 |
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| 0.4778 | 4.2487 | 54145 | 0.6240 | 0.6674 |
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| 0.4771 | 4.4986 | 57330 | 0.6250 | 0.6673 |
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| 0.4749 | 4.7485 | 60515 | 0.6249 | 0.6671 |
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| 0.478 | 4.9984 | 63700 | 0.6223 | 0.6675 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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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 498099200
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version https://git-lfs.github.com/spec/v1
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oid sha256:a200b7023094b0a27c2dd3a3a3001cf6bf492cbdf00db445424d6de60e7532ca
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size 498099200
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