End of training
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- adapter_model.bin +1 -1
README.md
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early_stopping_patience: null
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eval_max_new_tokens: 128
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eval_table_size: null
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evals_per_epoch:
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flash_attention: true
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fp16: null
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fsdp: null
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lora_target_linear: true
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lr_scheduler: cosine
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max_steps: 10
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micro_batch_size:
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mlflow_experiment_name: mhenrichsen/alpaca_2k_test
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model_type: LlamaForCausalLM
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num_epochs:
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optimizer: adamw_bnb_8bit
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output_dir: miner_id_besimray
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pad_to_sequence_len: true
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This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size:
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- eval_batch_size:
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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: cosine
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- lr_scheduler_warmup_steps: 10
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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### Framework versions
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early_stopping_patience: null
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eval_max_new_tokens: 128
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eval_table_size: null
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evals_per_epoch: 2
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flash_attention: true
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fp16: null
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fsdp: null
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lora_target_linear: true
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lr_scheduler: cosine
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max_steps: 10
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micro_batch_size: 10
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mlflow_experiment_name: mhenrichsen/alpaca_2k_test
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model_type: LlamaForCausalLM
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num_epochs: 3
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optimizer: adamw_bnb_8bit
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output_dir: miner_id_besimray
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pad_to_sequence_len: true
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This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1916
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 10
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- eval_batch_size: 10
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 40
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.2983 | 0.0211 | 1 | 1.2586 |
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| 1.4576 | 0.0421 | 2 | 1.2597 |
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| 1.4211 | 0.0842 | 4 | 1.2397 |
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| 1.3893 | 0.1263 | 6 | 1.2157 |
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| 1.2216 | 0.1684 | 8 | 1.2087 |
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| 1.3764 | 0.2105 | 10 | 1.1916 |
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### Framework versions
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adapter_model.bin
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