metadata
license: apache-2.0
base_model: euclaise/falcon_1b_stage1
tags:
- generated_from_trainer
model-index:
- name: falcon_1b_stage2
results: []
falcon_1b_stage2
This model is a fine-tuned version of euclaise/falcon_1b_stage1 on the None dataset.
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: 6e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8.0
- total_train_batch_size: 128.0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 32.9 |
| ARC (25-shot) | 35.49 |
| HellaSwag (10-shot) | 65.56 |
| MMLU (5-shot) | 23.83 |
| TruthfulQA (0-shot) | 38.32 |
| Winogrande (5-shot) | 62.35 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 4.72 |