Mistral_Sentiment_Classification_2024-05-17

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: 0.3003

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: 2.5e-05
• 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: linear
• lr_scheduler_warmup_steps: 0.03
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.4299	0.4587	100	0.3342
0.3351	0.9174	200	0.3189
0.3218	1.3761	300	0.3112
0.3164	1.8349	400	0.3067
0.3021	2.2936	500	0.3035
0.2892	2.7523	600	0.3006
0.2825	3.2110	700	0.3010
0.2719	3.6697	800	0.2994
0.2807	4.1284	900	0.3002
0.2622	4.5872	1000	0.3003

Framework versions

• PEFT 0.11.0
• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1