SequentialLearner

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an 100K Sequential Dataset with Meta Hierachal Learning It achieves the following results on the evaluation set:

• Loss: 0.7433

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: 1
• eval_batch_size: 1
• 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: cosine
• lr_scheduler_warmup_ratio: 0.5
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.97	25	0.7822
No log	1.98	51	0.6128
No log	2.99	77	0.6115
No log	4.0	103	0.6793
No log	4.85	125	0.7433

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0