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---
license: apache-2.0
base_model: EleutherAI/pythia-160m-deduped
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: pythia160m-sft-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-sft-tldr
This model is a fine-tuned version of [EleutherAI/pythia-160m-deduped](https://huggingface.co/EleutherAI/pythia-160m-deduped) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3864
## 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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 4.2966 | 0.2007 | 183 | 3.5566 |
| 3.5154 | 0.4013 | 366 | 3.4336 |
| 3.4239 | 0.6020 | 549 | 3.4037 |
| 3.3856 | 0.8026 | 732 | 3.3864 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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