resume-summarization-finetuned-mistral-7b
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.9103
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8838 | 0.6897 | 20 | 2.2258 |
| 1.4079 | 1.3793 | 40 | 2.3118 |
| 1.207 | 2.0690 | 60 | 2.4381 |
| 0.765 | 2.7586 | 80 | 2.6361 |
| 0.385 | 3.4483 | 100 | 2.9103 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.19.1
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Model tree for waelChafei/resume-summarization-finetuned-mistral-7b
Base model
mistralai/Mistral-7B-Instruct-v0.2