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llama-3b-bird-planner-fft
thanhdath/llama-3b-bird-planner-fft
llama-3b-bird-planner-fft is a machine learning model from thanhdath. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- llama
- Access
- Public
- Created
- Oct 21, 2024
- Updated
- Dec 11, 2024
- SHA
- 3c87efee
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
llama-3b-bird-planner-fft
This model is a fine-tuned version of /home/datht/huggingface/meta-llama/Llama-3.2-3B-Instruct on the /home/datht/codes/data/multi-agents/planner/sft-gpt-4o-mini-planner_combine_with_true_sql_bird_062024_with_evidence_train/ dataset. It achieves the following results on the evaluation set:
- Loss: 0.0070
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0941 | 0.9956 | 57 | 0.0703 |
| 0.0599 | 1.9913 | 114 | 0.0384 |
| 0.0303 | 2.9869 | 171 | 0.0168 |
| 0.0125 | 3.9825 | 228 | 0.0070 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.2+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1
- Type
- llama
- Created
- Oct 21, 2024
- Updated
- Dec 11, 2024