retnet-summarization-small

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [kaizerBox/retnet-summarization_small](https://huggingface.co/kaizerBox/retnet-summarization_small) on the xsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.1890
+- Loss: 4.1658
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.006
+- learning_rate: 0.0006
 - train_batch_size: 10
 - eval_batch_size: 10
 - seed: 42
@@ -51,13 +51,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 4.5962        | 1.0   | 4610 | 4.2708          |
-| 4.4177        | 2.0   | 9220 | 4.1890          |
+| 4.3805        | 1.0   | 4610 | 4.1733          |
+| 4.3591        | 2.0   | 9220 | 4.1658          |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
+- Transformers 4.35.1
 - Pytorch 2.1.0+cu118
 - Datasets 2.14.6
 - Tokenizers 0.14.1

config.json

@@ -28,7 +28,7 @@
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   "tie_word_embeddings": false,
   "torch_dtype": "float32",
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+  "transformers_version": "4.35.1",
   "use_cache": true,
   "use_ffn_rms_norm": false,
   "use_glu": true,

generation_config.json

@@ -2,5 +2,5 @@
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   "eos_token_id": 50256,
   "pad_token_id": 50257,
-  "transformers_version": "4.35.0"
+  "transformers_version": "4.35.1"
 }

model.safetensors

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training_args.bin

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