bloom-560m-pre-train-v2-qa-l6-l2

This model is a fine-tuned version of sai1881/bloom-560m-pre-train-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8820

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	55	1.8820
No log	2.0	110	1.8820
No log	3.0	165	1.8820

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3