metadata
base_model: barc0/cot-400k-barc-llama3.1-8b-ins-fft-transduction_lr1e-5_epoch3
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: cot-trainset-ft-transduction-v2-lora-train
results: []
cot-trainset-ft-transduction-v2-lora-train
This model is a fine-tuned version of barc0/cot-400k-barc-llama3.1-8b-ins-fft-transduction_lr1e-5_epoch3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2107
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1316 | 1.0 | 155 | 0.1494 |
| 0.073 | 2.0 | 310 | 0.1669 |
| 0.0305 | 3.0 | 465 | 0.2107 |
Framework versions
- PEFT 0.12.0
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1