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---
license: mit
base_model: MikeMpapa/4_bar_lmd_clean_custom_epochs10
tags:
- generated_from_trainer
model-index:
- name: 4_bar_lmd_clean_custom_epochs10
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. -->
# 4_bar_lmd_clean_custom_epochs10
This model is a fine-tuned version of [MikeMpapa/4_bar_lmd_clean_custom_epochs10](https://huggingface.co/MikeMpapa/4_bar_lmd_clean_custom_epochs10) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7890
## 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: 0.005
- train_batch_size: 48
- eval_batch_size: 32
- seed: 1
- gradient_accumulation_steps: 2
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 81
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9313 | 9.42 | 12000 | 0.9207 |
| 0.9129 | 18.84 | 24000 | 0.9018 |
| 0.8847 | 28.26 | 36000 | 0.8786 |
| 0.8537 | 37.68 | 48000 | 0.8541 |
| 0.8177 | 47.1 | 60000 | 0.8412 |
| 0.7778 | 56.51 | 72000 | 0.8111 |
| 0.7385 | 65.93 | 84000 | 0.7931 |
| 0.7079 | 75.35 | 96000 | 0.7890 |
### Framework versions
- Transformers 4.36.0
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.1
|