tsavage68/500STEPS_5e7rate_Meditron_7B_SFT_zeroshot

500STEPS_5e7rate_Meditron_7B_SFT

This model is a fine-tuned version of epfl-llm/meditron-7b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3040

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-07
• train_batch_size: 4
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
1.2096	0.1	50	1.1770
0.7177	0.2	100	0.6260
0.3348	0.29	150	0.3205
0.3151	0.39	200	0.3102
0.3138	0.49	250	0.3065
0.3118	0.59	300	0.3050
0.3033	0.68	350	0.3042
0.2995	0.78	400	0.3040
0.2781	0.88	450	0.3040
0.3055	0.98	500	0.3040

Framework versions

• Transformers 4.37.2
• Pytorch 2.0.0+cu117
• Datasets 2.17.0
• Tokenizers 0.15.1