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---
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dalio-6.7b-test
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. -->
# dalio-6.7b-test
This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6641
- Accuracy: 0.0662
## 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
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.5958 | 0.31 | 16 | 2.5371 | 0.0659 |
| 2.3784 | 0.62 | 32 | 2.5039 | 0.0670 |
| 2.3578 | 0.92 | 48 | 2.6074 | 0.0654 |
| 1.3819 | 1.23 | 64 | 2.6680 | 0.0658 |
| 1.1529 | 1.54 | 80 | 2.6738 | 0.0665 |
| 1.2938 | 1.85 | 96 | 2.6641 | 0.0662 |
### Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
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