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Meta-Llama-3-8B-Instruct-SFT-envbench_weave_2500
waleko/Meta-Llama-3-8B-Instruct-SFT-envbench_weave_2500
Meta-Llama-3-8B-Instruct-SFT-envbench_weave_2500 is a text generation model from waleko. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama3
- Model type
- llama
- Access
- Public
- Created
- Nov 20, 2025
- Updated
- Nov 21, 2025
- SHA
- 181a910e
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Base models
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. -->
Meta-Llama-3-8B-Instruct-SFT-envbench_weave_2500
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the envbench_weave_2500 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3917
- Accuracy: 0.8915
- Num Input Tokens Seen: 74168936
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0a0+df5bbc09d1.nv24.12
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama3
- Created
- Nov 20, 2025
- Updated
- Nov 21, 2025