End of training

README.md

@@ -71,7 +71,7 @@ pad_to_sequence_len: true
 resume_from_checkpoint: null
 sample_packing: true
 saves_per_epoch: 1
-seed: 49893
+seed: 88046
 sequence_len: 4096
 special_tokens: null
 strict: false
@@ -95,12 +95,12 @@ xformers_attention: null
 
 </details><br>
 
-[<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/fatcat87-taopanda/subnet56/runs/v6x5jc6w)
+[<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/fatcat87-taopanda/subnet56/runs/ci0wikh3)
 # taopanda-1_modal-workspace-taopanda
 
 This model is a fine-tuned version of [unsloth/Qwen2-0.5B](https://huggingface.co/unsloth/Qwen2-0.5B) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9127
+- Loss: 1.9134
 
 ## Model description
 
@@ -122,7 +122,7 @@ The following hyperparameters were used during training:
 - learning_rate: 0.0002
 - train_batch_size: 2
 - eval_batch_size: 2
-- seed: 49893
+- seed: 88046
 - distributed_type: multi-GPU
 - num_devices: 4
 - gradient_accumulation_steps: 4
@@ -136,7 +136,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.4447        | 1.0   | 1    | 1.9127          |
+| 1.4515        | 1.0   | 1    | 1.9134          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
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 size 70506570