metadata
license: apache-2.0
base_model: EleutherAI/pythia-1b-deduped
tags:
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: rm_tldr_1b
results: []
rm_tldr_1b
This model is a fine-tuned version of EleutherAI/pythia-1b-deduped on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6556
- Accuracy: 0.6239
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: 3e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6624 | 0.8270 | 300 | 0.6556 | 0.6239 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1