Model save

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
-license: llama3
-base_model: meta-llama/Meta-Llama-3-8B
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B
 tags:
 - llama-factory
 - generated_from_trainer
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # OH_DCFT_V3_wo_sharegpt
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6457
+- Loss: 0.6425
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6491        | 1.0   | 422  | 0.6519          |
-| 0.608         | 2.0   | 844  | 0.6422          |
-| 0.5724        | 3.0   | 1266 | 0.6457          |
+| 0.6485        | 1.0   | 422  | 0.6513          |
+| 0.6114        | 2.0   | 844  | 0.6410          |
+| 0.5796        | 3.0   | 1266 | 0.6425          |
 
 
 ### Framework versions

generation_config.json

@@ -1,8 +1,8 @@
 {
+  "_from_model_config": true,
   "bos_token_id": 128000,
   "do_sample": true,
   "eos_token_id": 128001,
-  "max_length": 4096,
   "temperature": 0.6,
   "top_p": 0.9,
   "transformers_version": "4.45.2"

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training_args.bin

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