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