ahmedheakl commited on
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End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
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  base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
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  tags:
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  - llama-factory
 
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  - generated_from_trainer
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  model-index:
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  - name: ex27_qwen2.5_1.5b_500k_16kcw_2ep_O2_arm
@@ -15,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # ex27_qwen2.5_1.5b_500k_16kcw_2ep_O2_arm
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- This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) on an unknown dataset.
 
 
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  ## Model description
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  base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
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  tags:
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  - llama-factory
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+ - full
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  - generated_from_trainer
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  model-index:
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  - name: ex27_qwen2.5_1.5b_500k_16kcw_2ep_O2_arm
 
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  # ex27_qwen2.5_1.5b_500k_16kcw_2ep_O2_arm
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) on the anghabencho2_16k dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0037
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  ## Model description
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all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.9999440700243296,
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+ "eval_loss": 0.0036745350807905197,
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+ "eval_runtime": 4.4482,
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+ "eval_samples_per_second": 44.962,
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+ "eval_steps_per_second": 22.481,
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+ "total_flos": 2.104089093791233e+19,
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+ "train_loss": 0.013820042532603908,
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+ "train_runtime": 130820.0015,
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+ "train_samples_per_second": 8.747,
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+ "train_steps_per_second": 0.273
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+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.9999440700243296,
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+ "eval_loss": 0.0036745350807905197,
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+ "eval_runtime": 4.4482,
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+ "eval_samples_per_second": 44.962,
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+ "eval_steps_per_second": 22.481
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+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.9999440700243296,
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+ "total_flos": 2.104089093791233e+19,
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+ "train_loss": 0.013820042532603908,
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+ "train_runtime": 130820.0015,
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+ "train_samples_per_second": 8.747,
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+ "train_steps_per_second": 0.273
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+ }
trainer_state.json ADDED
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training_loss.png ADDED