Model save

README.md

@@ -1,10 +1,9 @@
 ---
 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
-- full
 - generated_from_trainer
 model-index:
 - name: OH_DCFT_V3_wo_camel_ai_biology
@@ -16,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # OH_DCFT_V3_wo_camel_ai_biology
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the mlfoundations-dev/OH_DCFT_V3_wo_camel_ai_biology 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: 0.6422
+- Loss: 0.6390
 
 ## Model description
 
@@ -56,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.6417        | 0.9982 | 414  | 0.6492          |
-| 0.6           | 1.9988 | 829  | 0.6393          |
-| 0.5631        | 2.9946 | 1242 | 0.6422          |
+| 0.6408        | 0.9982 | 414  | 0.6482          |
+| 0.6026        | 1.9988 | 829  | 0.6378          |
+| 0.569         | 2.9946 | 1242 | 0.6390          |
 
 
 ### 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"

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5521b8401aa2d8e1c04aa0bf3b1bf9fa18278f99206651caea3cf6a9d38b758f
+oid sha256:5559206125909b8361de3d1ee2fccb676339a6254ae1a829f4079569311b47e2
 size 7160