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transformers
minhhiepcr/transformers
transformers is a text generation model from minhhiepcr. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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.safetensors29 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- mistral
- Access
- Public
- Created
- May 23, 2024
- Updated
- May 23, 2024
- SHA
- 1c6ccea2
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Datasets
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. -->
transformers
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.1834
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: 0.0002
- train_batch_size: 48
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- training_steps: 205
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3619 | 0.6119 | 41 | 0.3519 |
| 0.217 | 1.2239 | 82 | 0.2386 |
| 0.186 | 1.8358 | 123 | 0.2015 |
| 0.1619 | 2.4478 | 164 | 0.1864 |
| 0.1597 | 3.0597 | 205 | 0.1834 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.0.1+cu118
- Datasets 2.16.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- Created
- May 23, 2024
- Updated
- May 23, 2024