End of training

README.md

@@ -33,13 +33,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 5e-05
 - train_batch_size: 1
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 1
 
 ### Training results
 
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.47.0
+- Transformers 4.51.0
 - Pytorch 2.5.1+cu121
 - Datasets 3.3.1
 - Tokenizers 0.21.0

config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "canopylabs/orpheus-tts-0.1-pretrained",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -30,7 +29,7 @@
   "rope_theta": 500000.0,
   "tie_word_embeddings": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.47.0",
+  "transformers_version": "4.51.0",
   "use_cache": true,
   "vocab_size": 156939
 }

generation_config.json

@@ -5,5 +5,5 @@
   "eos_token_id": 128001,
   "temperature": 0.6,
   "top_p": 0.9,
-  "transformers_version": "4.47.0"
+  "transformers_version": "4.51.0"
 }

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training_args.bin

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