Model save

README.md

@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [imone/Mistral_7B_with_EOT_token](https://huggingface.co/imone/Mistral_7B_with_EOT_token) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0757
+- Loss: 0.7076
 
 ## Model description
 
@@ -49,17 +49,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 5
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6546        | 1.0   | 59   | 0.4449          |
-| 0.4747        | 2.0   | 118  | 0.3181          |
-| 0.2246        | 3.0   | 177  | 0.1280          |
-| 0.1179        | 4.0   | 236  | 0.0868          |
-| 0.0755        | 5.0   | 295  | 0.0757          |
+| 0.7609        | 1.0   | 59   | 0.7076          |
 
 
 ### Framework versions

config.json

@@ -20,7 +20,7 @@
   "sliding_window": 4096,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
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+  "transformers_version": "4.38.2",
   "use_cache": false,
   "vocab_size": 32002
 }

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tokenizer.json

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