.CON - Story Generation Models
Collection
6 items
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Updated
PointCon-vigogne-33b-instruct-3
This model is a fine-tuned version of bofenghuang/vigogne-33b-instruct on the .CON french satirical corpus. It achieves the following results on the evaluation set:
- Loss: 1.8266
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0831 | 0.24 | 30 | 1.9738 |
| 1.9472 | 0.48 | 60 | 1.8989 |
| 1.8874 | 0.73 | 90 | 1.8626 |
| 1.8311 | 0.97 | 120 | 1.8403 |
| 1.7394 | 1.21 | 150 | 1.8423 |
| 1.6894 | 1.45 | 180 | 1.8373 |
| 1.6351 | 1.69 | 210 | 1.8295 |
| 1.7245 | 1.94 | 240 | 1.8266 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for Acadys/PointCon-Vigogne33B
Base model
bofenghuang/vigogne-33b-instruct