metadata
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-chat-hf-ark
results: []
Llama-2-7b-chat-hf-ark
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 4.2234
- eval_runtime: 3.292
- eval_samples_per_second: 1530.994
- eval_steps_per_second: 47.995
- epoch: 9.07
- step: 70000
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 128
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1