---
base_model: RefalMachine/ruadapt_solar_10.7_part1
tags:
- generated_from_trainer
model-index:
- name: ruadapt_solar_10.7_part1_proj_init_rsg_lora
  results: []
---

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# ruadapt_solar_10.7_part1_proj_init_rsg_lora

This model is a fine-tuned version of [RefalMachine/ruadapt_solar_10.7_part1](https://huggingface.co/RefalMachine/ruadapt_solar_10.7_part1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0771

## 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: 0.00025
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1107        | 0.45  | 100  | 0.0784          |
| 0.0853        | 0.9   | 200  | 0.0900          |
| 0.0565        | 1.35  | 300  | 0.0818          |
| 0.0475        | 1.8   | 400  | 0.0688          |
| 0.0203        | 2.24  | 500  | 0.0788          |
| 0.0291        | 2.69  | 600  | 0.0771          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.2
- Datasets 2.14.4
- Tokenizers 0.14.1