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Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests

PEFT
TensorBoard
Safetensors
trl
sft
Generated from Trainer
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README.md ADDED
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+ ---
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+ license: llama3.1
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+ base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests
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+ results: []
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+ library_name: peft
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7127
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 2.1526 | 0.0630 | 1 | 2.0335 |
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+ | 2.0911 | 0.1260 | 2 | 1.4581 |
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+ | 1.4849 | 0.1890 | 3 | 1.5173 |
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+ | 1.4637 | 0.2520 | 4 | 1.4524 |
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+ | 1.4601 | 0.3150 | 5 | 1.1220 |
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+ | 1.126 | 0.3780 | 6 | 0.9505 |
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+ | 0.9398 | 0.4409 | 7 | 0.9023 |
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+ | 0.8999 | 0.5039 | 8 | 0.9739 |
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+ | 0.9304 | 0.5669 | 9 | 0.9137 |
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+ | 0.9523 | 0.6299 | 10 | 0.8252 |
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+ | 0.8594 | 0.6929 | 11 | 0.8355 |
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+ | 0.8166 | 0.7559 | 12 | 0.7858 |
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+ | 0.7787 | 0.8189 | 13 | 0.7842 |
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+ | 0.8018 | 0.8819 | 14 | 0.7916 |
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+ | 0.727 | 0.9449 | 15 | 0.7430 |
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+ | 0.7281 | 1.0079 | 16 | 0.7661 |
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+ | 0.7854 | 1.0709 | 17 | 0.7372 |
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+ | 0.7343 | 1.1339 | 18 | 0.7295 |
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+ | 0.6652 | 1.1969 | 19 | 0.7325 |
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+ | 0.6603 | 1.2598 | 20 | 0.7454 |
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+ | 0.6652 | 1.3228 | 21 | 0.7600 |
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+ | 0.7026 | 1.3858 | 22 | 0.7352 |
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+ | 0.7216 | 1.4488 | 23 | 0.7302 |
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+ | 0.7148 | 1.5118 | 24 | 0.7092 |
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+ | 0.6603 | 1.5748 | 25 | 0.7158 |
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+ | 0.7028 | 1.6378 | 26 | 0.7077 |
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+ | 0.6412 | 1.7008 | 27 | 0.7090 |
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+ | 0.6496 | 1.7638 | 28 | 0.7042 |
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+ | 0.6938 | 1.8268 | 29 | 0.7149 |
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+ | 0.6696 | 1.8898 | 30 | 0.7127 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.5.0
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+ - Transformers 4.44.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.16.0
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+ - Tokenizers 0.19.1
runs/Aug19_12-24-08_chimera12/events.out.tfevents.1724085606.chimera12.3528609.1 ADDED
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+ size 354