End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.9819
+- Loss: 6.4423
 
 ## Model description
 
@@ -42,20 +42,25 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- num_epochs: 2
-- mixed_precision_training: Native AMP
+- num_epochs: 8
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.8649 | 4    | 7.5810          |
-| No log        | 1.7297 | 8    | 6.9819          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.96  | 3    | 7.7950          |
+| No log        | 1.92  | 6    | 6.9879          |
+| No log        | 2.88  | 9    | 6.6631          |
+| 7.658         | 3.84  | 12   | 6.5423          |
+| 7.658         | 4.8   | 15   | 6.4882          |
+| 7.658         | 5.76  | 18   | 6.4637          |
+| 6.5857        | 6.72  | 21   | 6.4457          |
+| 6.5857        | 7.68  | 24   | 6.4423          |
 
 
 ### Framework versions
 
-- Transformers 4.40.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -33,7 +33,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.40.2",
+  "transformers_version": "4.39.3",
   "use_cache": true,
   "vocab_size": 50258
 }

generation_config.json

@@ -2,5 +2,5 @@
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   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.40.2"
+  "transformers_version": "4.39.3"
 }

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training_args.bin

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