---
base_model: bigscience/bloomz-560m
library_name: peft
license: bigscience-bloom-rail-1.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: bloom_ts2
  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. -->

# bloom_ts2

This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2988

## 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: 1.41e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 3.1299        | 0.9999 | 2219  | 2.625           |
| 2.6199        | 1.9998 | 4438  | 2.4199          |
| 3.3262        | 2.9997 | 6657  | 2.3418          |
| 2.4294        | 4.0    | 8877  | 2.3066          |
| 2.2871        | 4.9994 | 11095 | 2.2988          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.2.1
- Datasets 3.0.0
- Tokenizers 0.19.1