uploadtestsmallstep2

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the zeta-labs/mind2web_combined_236_18_01 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3438

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 5

Training results

Framework versions

• PEFT 0.7.1
• Transformers 4.37.0
• Pytorch 2.1.2
• Datasets 2.16.1
• Tokenizers 0.15.1