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---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: bloom-560m-finetuned-samsum
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-560m-finetuned-samsum
This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9178
## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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: 6
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7663 | 0.63 | 200 | 2.6934 |
| 2.3769 | 1.26 | 400 | 2.6274 |
| 2.2776 | 1.89 | 600 | 2.5818 |
| 1.873 | 2.52 | 800 | 2.7177 |
| 1.6715 | 3.15 | 1000 | 2.9178 |
| 1.4515 | 3.78 | 1200 | 2.8924 |
| 1.0522 | 4.42 | 1400 | 3.3753 |
| 1.0237 | 5.05 | 1600 | 3.8098 |
| 0.7416 | 5.68 | 1800 | 3.9139 |
### Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
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