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---
license: other
tags:
- generated_from_trainer
datasets:
- AlekseyKorshuk/dalio-handwritten-io
metrics:
- accuracy
model-index:
- name: dalio-handwritten-io-1.3b
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: AlekseyKorshuk/dalio-handwritten-io
type: AlekseyKorshuk/dalio-handwritten-io
metrics:
- name: Accuracy
type: accuracy
value: 0.06143479984145858
---
<!-- 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-handwritten-io-1.3b
This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the AlekseyKorshuk/dalio-handwritten-io dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3789
- Accuracy: 0.0614
## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.9219 | 0.1 | 1 | 2.6484 | 0.0529 |
| 2.6938 | 0.2 | 2 | 2.6484 | 0.0529 |
| 2.6365 | 0.3 | 3 | 2.5508 | 0.0560 |
| 2.5088 | 0.4 | 4 | 2.5332 | 0.0562 |
| 2.7307 | 0.5 | 5 | 2.5176 | 0.0565 |
| 2.969 | 0.6 | 6 | 2.4941 | 0.0571 |
| 2.7283 | 0.7 | 7 | 2.4883 | 0.0567 |
| 2.6157 | 0.8 | 8 | 2.4766 | 0.0578 |
| 2.6406 | 0.9 | 9 | 2.4590 | 0.0583 |
| 2.5701 | 1.0 | 10 | 2.4375 | 0.0587 |
| 2.2017 | 1.1 | 11 | 2.4238 | 0.0587 |
| 2.0039 | 1.2 | 12 | 2.4219 | 0.0586 |
| 1.8981 | 1.3 | 13 | 2.4160 | 0.0589 |
| 1.7683 | 1.4 | 14 | 2.4160 | 0.0595 |
| 1.6746 | 1.5 | 15 | 2.4121 | 0.0600 |
| 1.8051 | 1.6 | 16 | 2.4102 | 0.0600 |
| 2.0457 | 1.7 | 17 | 2.4043 | 0.0602 |
| 1.8257 | 1.8 | 18 | 2.4004 | 0.0606 |
| 1.744 | 1.9 | 19 | 2.3887 | 0.0607 |
| 1.8232 | 2.0 | 20 | 2.3887 | 0.0607 |
| 1.4741 | 2.1 | 21 | 2.3828 | 0.0610 |
| 1.651 | 2.2 | 22 | 2.3770 | 0.0608 |
| 1.3732 | 2.3 | 23 | 2.3730 | 0.0610 |
| 1.3151 | 2.4 | 24 | 2.3730 | 0.0610 |
| 1.5302 | 2.5 | 25 | 2.3730 | 0.0610 |
| 1.2539 | 2.6 | 26 | 2.375 | 0.0612 |
| 1.6211 | 2.7 | 27 | 2.3770 | 0.0612 |
| 1.6047 | 2.8 | 28 | 2.3770 | 0.0613 |
| 1.1953 | 2.9 | 29 | 2.3789 | 0.0614 |
| 1.1621 | 3.0 | 30 | 2.3789 | 0.0614 |
### Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
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