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gtp_adaptation_martin_fierro_v2
nanom/gtp_adaptation_martin_fierro_v2
gtp_adaptation_martin_fierro_v2 is a text generation model from nanom. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Sep 12, 2023
- Updated
- Sep 12, 2023
- SHA
- 70fae941
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Martin-Fierro
This model is a fine-tuned version of DeepESP/gpt2-spanish on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7721
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.0919 | 1.0 | 40 | 4.9569 |
| 4.7032 | 2.0 | 80 | 4.8517 |
| 4.4604 | 3.0 | 120 | 4.8015 |
| 4.2456 | 4.0 | 160 | 4.7786 |
| 4.2514 | 5.0 | 200 | 4.7721 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Sep 12, 2023
- Updated
- Sep 12, 2023