gst-copywriter-v1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4578
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9655 | 7 | 1.6042 |
| 1.64 | 1.9310 | 14 | 1.4917 |
| 1.2513 | 2.8966 | 21 | 1.4578 |
Framework versions
- PEFT 0.10.0
- Transformers 4.45.2
- Pytorch 2.4.1+cu124
- Datasets 4.8.4
- Tokenizers 0.20.3
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Model tree for saschka882/gst-copywriter-v1
Base model
mistralai/Mistral-7B-v0.3 Finetuned
mistralai/Mistral-7B-Instruct-v0.3