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Groq_Llama-3-Tool-Use-VisitorRequest-Lora

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
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+ base_model: Groq/Llama-3-Groq-8B-Tool-Use
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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: Groq_Llama-3-Tool-Use-VisitorRequest-Lora
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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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+ # Groq_Llama-3-Tool-Use-VisitorRequest-Lora
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+
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+ This model is a fine-tuned version of [Groq/Llama-3-Groq-8B-Tool-Use](https://huggingface.co/Groq/Llama-3-Groq-8B-Tool-Use) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6920
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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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+ | 2.3852 | 0.0635 | 1 | 5.9455 |
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+ | 5.9202 | 0.1270 | 2 | 2.0524 |
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+ | 2.1422 | 0.1905 | 3 | 1.2710 |
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+ | 1.32 | 0.2540 | 4 | 1.1640 |
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+ | 1.1839 | 0.3175 | 5 | 0.8947 |
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+ | 0.9042 | 0.3810 | 6 | 0.9210 |
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+ | 0.8737 | 0.4444 | 7 | 0.8815 |
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+ | 0.8936 | 0.5079 | 8 | 0.7752 |
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+ | 0.7229 | 0.5714 | 9 | 0.7938 |
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+ | 0.8039 | 0.6349 | 10 | 0.8019 |
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+ | 0.8014 | 0.6984 | 11 | 0.7562 |
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+ | 0.749 | 0.7619 | 12 | 0.7280 |
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+ | 0.71 | 0.8254 | 13 | 0.7346 |
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+ | 0.7461 | 0.8889 | 14 | 0.7208 |
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+ | 0.6635 | 0.9524 | 15 | 0.7096 |
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+ | 0.7271 | 1.0159 | 16 | 0.7038 |
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+ | 0.6691 | 1.0794 | 17 | 0.7117 |
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+ | 0.6672 | 1.1429 | 18 | 0.7996 |
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+ | 0.7766 | 1.2063 | 19 | 0.7333 |
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+ | 0.6818 | 1.2698 | 20 | 0.7651 |
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+ | 0.684 | 1.3333 | 21 | 0.7110 |
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+ | 0.6575 | 1.3968 | 22 | 0.7213 |
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+ | 0.6146 | 1.4603 | 23 | 0.7275 |
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+ | 0.6245 | 1.5238 | 24 | 0.7908 |
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+ | 0.7224 | 1.5873 | 25 | 0.7301 |
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+ | 0.6472 | 1.6508 | 26 | 0.7082 |
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+ | 0.6066 | 1.7143 | 27 | 0.7114 |
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+ | 0.6735 | 1.7778 | 28 | 0.6984 |
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+ | 0.6263 | 1.8413 | 29 | 0.6899 |
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+ | 0.5998 | 1.9048 | 30 | 0.6920 |
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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/Aug25_22-22-42_chimera12/events.out.tfevents.1724639981.chimera12.944707.1 ADDED
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+ size 354