BLOOM_AAID_structured_train_final_last

This model is a fine-tuned version of bigscience/bloom-7b1 on the AAID_structured dataset. It achieves the following results on the evaluation set:

• Loss: 0.8413

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: 0.0003
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.817	0.2188	200	0.8413
0.381	0.4375	400	0.8806
0.3025	0.6563	600	1.0179
0.1879	0.8750	800	1.1555
0.0744	1.0938	1000	1.2785
0.0231	1.3126	1200	1.3369

Framework versions

• PEFT 0.11.1
• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1