---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Writer/palmyra-base
model-index:
- name: content
  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. -->

# content

This model is a fine-tuned version of [Writer/palmyra-base](https://huggingface.co/Writer/palmyra-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5572

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9539        | 0.4   | 286  | 1.6457          |
| 1.6716        | 0.8   | 572  | 1.5941          |
| 1.8268        | 1.2   | 858  | 1.5702          |
| 1.63          | 1.6   | 1144 | 1.5590          |
| 1.8811        | 2.0   | 1430 | 1.5572          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.2