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: 3.3419
+- Loss: 3.2278
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0006
+- learning_rate: 0.001
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
@@ -43,20 +43,21 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 10
-- num_epochs: 1
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 3.526         | 1.0   | 11525 | 3.3419          |
+| 3.5745        | 1.0   | 11525 | 3.3519          |
+| 3.2943        | 2.0   | 23050 | 3.2278          |
 
 
 ### Framework versions
 
-- Transformers 4.35.1
+- Transformers 4.35.2
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.7
-- Tokenizers 0.14.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

@@ -28,7 +28,7 @@
   "subln": true,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.35.1",
+  "transformers_version": "4.35.2",
   "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": "4.35.1"
+  "transformers_version": "4.35.2"
 }

model.safetensors

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runs/Nov18_20-31-38_8c72afc6b1ac/events.out.tfevents.1700339498.8c72afc6b1ac.1388.0

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training_args.bin

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