Model save
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- adapter_model.safetensors +1 -1
README.md
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---
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base_model: scb10x/llama-3-typhoon-v1.5-8b-instruct
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library_name: peft
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license: llama3
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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: results_1
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results: []
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This model is a fine-tuned version of [scb10x/llama-3-typhoon-v1.5-8b-instruct](https://huggingface.co/scb10x/llama-3-typhoon-v1.5-8b-instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.
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- eval_runtime:
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- eval_samples_per_second:
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- eval_steps_per_second:
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- epoch:
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- step:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 12
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### Framework versions
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- PEFT 0.
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- Transformers 4.
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- Pytorch 2.3.
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- Datasets 2.18.0
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- Tokenizers 0.
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---
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license: llama3
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library_name: peft
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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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base_model: scb10x/llama-3-typhoon-v1.5-8b-instruct
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model-index:
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- name: results_1
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results: []
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This model is a fine-tuned version of [scb10x/llama-3-typhoon-v1.5-8b-instruct](https://huggingface.co/scb10x/llama-3-typhoon-v1.5-8b-instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.2106
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- eval_runtime: 45.0962
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- eval_samples_per_second: 9.956
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- eval_steps_per_second: 1.264
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- epoch: 9.07
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- step: 510
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 12
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.39.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_model.safetensors
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