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---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: bloom-560m-finetuned-common_gen
results: []
datasets:
- common_gen
widget:
- text: "<s>Generate a sentence with the following words:\nski, mountain, skier\nSentence:"
- text: "<s>Generate a sentence with the following words:\ndog, bed, play\nSentence:"
inference:
parameters:
eos_token_id: 2
max_length: 200
---
<!-- 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-common_gen
This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the [common_gen](https://huggingface.co/datasets/common_gen) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3937
## 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: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4819 | 0.38 | 100 | 1.4582 |
| 1.2451 | 0.76 | 200 | 1.4247 |
| 1.1016 | 1.14 | 300 | 1.4382 |
| 0.9724 | 1.53 | 400 | 1.4207 |
| 0.9396 | 1.91 | 500 | 1.3949 |
### Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
|