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End of training

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  1. README.md +13 -11
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -31,7 +31,7 @@ deepspeed: null
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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: 4
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  flash_attention: true
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  fp16: null
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  fsdp: null
@@ -55,10 +55,10 @@ lora_r: 16
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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: 2
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  mlflow_experiment_name: mhenrichsen/alpaca_2k_test
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  model_type: LlamaForCausalLM
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- num_epochs: 1
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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
@@ -90,7 +90,7 @@ xformers_attention: null
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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: 1.2174
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  ## Model description
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@@ -110,11 +110,11 @@ More information needed
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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: 2
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- - eval_batch_size: 2
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  - seed: 42
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  - gradient_accumulation_steps: 4
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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: cosine
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  - lr_scheduler_warmup_steps: 10
@@ -124,10 +124,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.3218 | 0.0042 | 1 | 1.2625 |
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- | 1.3035 | 0.0126 | 3 | 1.2594 |
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- | 1.492 | 0.0253 | 6 | 1.2116 |
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- | 1.2852 | 0.0379 | 9 | 1.2174 |
 
 
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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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