retnet-summarization

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](https://huggingface.co/kaizerBox/retnet-summarization) on the xsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.4144
+- Loss: 3.3419
 
 ## Model description
 
@@ -51,12 +51,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 3.631         | 1.0   | 11525 | 3.4144          |
+| 3.526         | 1.0   | 11525 | 3.3419          |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
+- Transformers 4.35.1
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.6
+- Datasets 2.14.7
 - 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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