End of training

README.md

@@ -1,7 +1,7 @@
 ---
-base_model: bigcode/starcoderbase-1b
 library_name: peft
 license: bigcode-openrail-m
+base_model: bigcode/starcoderbase-1b
 tags:
 - generated_from_trainer
 model-index:
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1005
+- Loss: 0.9177
 
 ## Model description
 
@@ -36,10 +36,10 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0005
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 30
 - training_steps: 100
@@ -48,13 +48,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.2344        | 1.0   | 100  | 1.1005          |
+| 1.0155        | 1.0   | 100  | 0.9177          |
 
 
 ### Framework versions
 
 - PEFT 0.13.2
-- Transformers 4.44.2
-- Pytorch 2.5.0+cu121
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu124
 - Datasets 3.1.0
-- Tokenizers 0.19.1
+- Tokenizers 0.20.3