metadata
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: RiverTest/RiverMTG7
model-index:
- name: RiverTest/RiverMTG7
results: []
RiverTest/RiverMTG7
This model is a fine-tuned version of RiverTest/RiverMTG7 on the generator dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5450
- eval_runtime: 11.6968
- eval_samples_per_second: 8.977
- eval_steps_per_second: 1.197
- epoch: 12.58
- step: 390
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 700
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0