Model save

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: mistralai/Mistral-7B-v0.1
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B
 tags:
 - llama-factory
 - generated_from_trainer
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llama3-mammoth-dcft
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+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.
 It achieves the following results on the evaluation set:
-- Loss: nan
+- Loss: 1.0635
 
 ## Model description
 
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.0           | 0.7619 | 2    | nan             |
-| 0.0           | 1.9048 | 5    | nan             |
-| 0.0           | 2.2857 | 6    | nan             |
+| No log        | 0.8889 | 2    | 1.1009          |
+| No log        | 1.7778 | 4    | 1.0781          |
+| No log        | 2.6667 | 6    | 1.0635          |
 
 
 ### Framework versions
 
-- Transformers 4.45.0
-- Pytorch 2.5.0+cu124
-- Datasets 2.19.2
-- Tokenizers 0.20.0
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.20.1

generation_config.json

@@ -1,6 +1,9 @@
 {
-  "_from_model_config": true,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "transformers_version": "4.45.0"
+  "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"
 }