|
--- |
|
license: apache-2.0 |
|
base_model: mnoukhov/pythia160m-sft-tldr |
|
tags: |
|
- trl |
|
- reward-trainer |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: pythia160m-rm-tldr |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# pythia160m-rm-tldr |
|
|
|
This model is a fine-tuned version of [mnoukhov/pythia160m-sft-tldr](https://huggingface.co/mnoukhov/pythia160m-sft-tldr) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5769 |
|
- Accuracy: 0.6938 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:------:|:----:|:---------------:|:--------:| |
|
| 0.6584 | 0.2006 | 291 | 0.6132 | 0.6663 | |
|
| 0.6248 | 0.4011 | 582 | 0.5890 | 0.6850 | |
|
| 0.6203 | 0.6017 | 873 | 0.5939 | 0.6805 | |
|
| 0.6124 | 0.8022 | 1164 | 0.5769 | 0.6938 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
|
|
