End of training

README.md

@@ -39,15 +39,19 @@ The following hyperparameters were used during training:
 - seed: 42
 - gradient_accumulation_steps: 8
 - total_train_batch_size: 512
-- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use OptimizerNames.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: 1000
 - num_epochs: 1
 - mixed_precision_training: Native AMP
 
+### Training results
+
+
+
 ### Framework versions
 
-- Transformers 4.56.2
-- Pytorch 2.8.0+cu128
-- Datasets 4.1.1
-- Tokenizers 0.22.1
+- Transformers 4.48.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

@@ -1,9 +1,6 @@
 {
   "_from_model_config": true,
   "bos_token_id": 0,
-  "eos_token_id": [
-    0
-  ],
-  "pad_token_id": 0,
-  "transformers_version": "4.56.2"
+  "eos_token_id": 0,
+  "transformers_version": "4.48.1"
 }