README.md

metadata

base_model: MNC-LLM/Mistral-7B-NWS-u2k-merge-Marcoroni
tags:
  - generated_from_trainer
model-index:
  - name: >-
      batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu32
    results: []

batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu32

This model is a fine-tuned version of MNC-LLM/Mistral-7B-NWS-u2k-merge-Marcoroni on the None dataset.

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 4

Training results

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0
• Datasets 2.14.7
• Tokenizers 0.14.1