344ebde0-18fc-456f-b2c5-466f7c9a4290

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: 0.0085

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: 0.000201
• train_batch_size: 4
• eval_batch_size: 4
• seed: 10
• 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	0.0009	1	2.0781
0.1731	0.0425	50	0.0543
0.1572	0.0850	100	0.0541
0.0759	0.1276	150	0.0328
0.0307	0.1701	200	0.0190
0.1017	0.2126	250	0.0191
0.0055	0.2551	300	0.0170
0.1249	0.2976	350	0.0123
0.0443	0.3401	400	0.0085
0.0078	0.3827	450	0.0084
0.0093	0.4252	500	0.0085

Framework versions

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