metadata
base_model: >-
RefalMachine/ruadapt_solar_10.7_darulm_unigram_proj_init_part2_v3_alpha_scale_2
tags:
- generated_from_trainer
model-index:
- name: ruadapt_solar_10.7_part2_v3_as2_rsg_lora
results: []
ruadapt_solar_10.7_part2_v3_as2_rsg_lora
This model is a fine-tuned version of RefalMachine/ruadapt_solar_10.7_darulm_unigram_proj_init_part2_v3_alpha_scale_2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0744
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 |
|---|---|---|---|
| 0.1 | 0.45 | 100 | 0.0669 |
| 0.0837 | 0.9 | 200 | 0.0682 |
| 0.0511 | 1.35 | 300 | 0.0762 |
| 0.0473 | 1.8 | 400 | 0.0662 |
| 0.0188 | 2.24 | 500 | 0.0841 |
| 0.0268 | 2.69 | 600 | 0.0744 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.2
- Datasets 2.14.4
- Tokenizers 0.14.1