2631bbc3-8421-41f7-873a-732c69ebd9fb

This model is a fine-tuned version of bigscience/bloomz-560m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9557

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: 0.000203
• train_batch_size: 4
• eval_batch_size: 4
• seed: 30
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0001	1	5.7475
5.4098	0.0057	50	2.7369
4.9087	0.0115	100	2.4225
4.4113	0.0172	150	2.3080
4.4022	0.0230	200	2.2083
4.264	0.0287	250	2.1121
4.123	0.0345	300	2.0596
3.9286	0.0402	350	2.0155
3.9181	0.0460	400	1.9756
4.0399	0.0517	450	1.9583
3.8503	0.0575	500	1.9557

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1