Model save

README.md

@@ -1,10 +1,9 @@
 ---
 library_name: transformers
-license: other
+license: apache-2.0
 base_model: Qwen/Qwen2.5-7B-Instruct
 tags:
 - llama-factory
-- full
 - generated_from_trainer
 model-index:
 - name: am_100k
@@ -16,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # am_100k
 
-This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/am_100k dataset.
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
 
 ## Model description
 
@@ -40,10 +39,10 @@ The following hyperparameters were used during training:
 - eval_batch_size: 8
 - seed: 42
 - distributed_type: multi-GPU
-- num_devices: 16
-- gradient_accumulation_steps: 32
+- num_devices: 32
+- gradient_accumulation_steps: 16
 - total_train_batch_size: 512
-- total_eval_batch_size: 128
+- total_eval_batch_size: 256
 - 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_ratio: 0.1
@@ -56,6 +55,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.46.1
-- Pytorch 2.5.0a0+b465a5843b.nv24.09
-- Datasets 3.5.0
+- Pytorch 2.5.1
+- Datasets 3.1.0
 - Tokenizers 0.20.3