End of training

README.md

@@ -1,9 +1,7 @@
 ---
-base_model: deepseek-ai/deepseek-coder-1.3b-base
-datasets:
-- generator
 library_name: peft
 license: other
+base_model: deepseek-ai/deepseek-coder-1.3b-base
 tags:
 - trl
 - sft
@@ -16,10 +14,9 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/stojchets/huggingface/runs/dw29jj1w)
 # sft5
 
-This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the generator dataset.
+This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
 
 ## Model description
 
@@ -38,16 +35,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 16
+- learning_rate: 0.05
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 16
-- total_train_batch_size: 256
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 200
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
@@ -56,7 +53,7 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - PEFT 0.10.0
-- Transformers 4.43.0.dev0
-- Pytorch 2.2.2+cu121
+- Transformers 4.45.0
+- Pytorch 2.5.1+cu124
 - Datasets 2.19.2
-- Tokenizers 0.19.1
+- Tokenizers 0.20.3