bloom_ts2

This model is a fine-tuned version of bigscience/bloomz-560m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2988

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: 1.41e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
3.1299	0.9999	2219	2.625
2.6199	1.9998	4438	2.4199
3.3262	2.9997	6657	2.3418
2.4294	4.0	8877	2.3066
2.2871	4.9994	11095	2.2988

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.2.1
• Datasets 3.0.0
• Tokenizers 0.19.1