metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: RC-inspire-LLM-ex1-b256
results: []
RC-inspire-LLM-ex1-b256
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1645
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: 0.0035355339059327372
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.0101 | 0.1718 | 5000 | 3.6379 |
| 3.5732 | 0.3435 | 10000 | 3.4689 |
| 3.4485 | 0.5153 | 15000 | 3.3665 |
| 3.349 | 0.6871 | 20000 | 3.2674 |
| 3.247 | 0.8588 | 25000 | 3.1645 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1