metadata
license: other
tags:
- generated_from_trainer
model-index:
- name: llama-guanaco-7b-ingbetic
results: []
llama-guanaco-7b-ingbetic
This model is a fine-tuned version of decapoda-research/llama-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0377
- eval_runtime: 65.5409
- eval_samples_per_second: 27.952
- eval_steps_per_second: 3.494
- epoch: 0.12
- step: 40
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 100
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3