llama3_darulm_20_05_24_part1-2_128000_bpe_part1_lr2e4_bs256
This model is a fine-tuned version of RefalMachine/llama3_darulm_20_05_24_part1-2_128000_bpe_mean_init_03_07_24 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3612
- Accuracy: 0.5178
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.7657 | 0.1 | 2000 | 2.5269 | 0.4967 |
2.7065 | 0.2 | 4000 | 2.4675 | 0.5033 |
2.6458 | 0.3 | 6000 | 2.4329 | 0.5078 |
2.6112 | 0.4 | 8000 | 2.4078 | 0.5109 |
2.5934 | 0.51 | 10000 | 2.3867 | 0.5140 |
2.5881 | 0.61 | 12000 | 2.3724 | 0.5161 |
2.5566 | 0.71 | 14000 | 2.3647 | 0.5174 |
2.5829 | 0.81 | 16000 | 2.3618 | 0.5178 |
2.5821 | 0.91 | 18000 | 2.3612 | 0.5179 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 1
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.