|
--- |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- AlekseyKorshuk/dalio-synthetic-io |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: 1.3b-synthetic-v1-after-book |
|
results: |
|
- task: |
|
name: Causal Language Modeling |
|
type: text-generation |
|
dataset: |
|
name: AlekseyKorshuk/dalio-synthetic-io |
|
type: AlekseyKorshuk/dalio-synthetic-io |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.07541139670882632 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# 1.3b-synthetic-v1-after-book |
|
|
|
This model is a fine-tuned version of [/models/1.3b-dalio-principles-book](https://huggingface.co//models/1.3b-dalio-principles-book) on the AlekseyKorshuk/dalio-synthetic-io dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.9805 |
|
- Accuracy: 0.0754 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- total_train_batch_size: 32 |
|
- total_eval_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- num_epochs: 1.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 2.0841 | 0.1 | 1 | 2.0254 | 0.0759 | |
|
| 2.062 | 0.2 | 2 | 2.0254 | 0.0759 | |
|
| 2.1509 | 0.3 | 3 | 1.9941 | 0.0761 | |
|
| 2.1206 | 0.4 | 4 | 1.9941 | 0.0756 | |
|
| 2.2087 | 0.5 | 5 | 1.9941 | 0.0757 | |
|
| 2.0337 | 0.6 | 6 | 1.9902 | 0.0755 | |
|
| 2.026 | 0.7 | 7 | 1.9854 | 0.0755 | |
|
| 2.1879 | 0.8 | 8 | 1.9834 | 0.0756 | |
|
| 2.1052 | 0.9 | 9 | 1.9824 | 0.0754 | |
|
| 2.046 | 1.0 | 10 | 1.9805 | 0.0754 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.0.dev0 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|
