Training complete

README.md

@@ -1,7 +1,6 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: google-t5/t5-small
+base_model: google/pegasus-large
 tags:
 - simplification
 - generated_from_trainer
@@ -17,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # t5-normalization
 
-This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1709
-- Bleu: 52.1285
-- Gen Len: 18.5417
+- Loss: 0.0924
+- Bleu: 87.9207
+- Gen Len: 36.5
 
 ## Model description
 
@@ -52,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 440  | 0.1950          | 52.8189 | 18.5417 |
-| 0.2883        | 2.0   | 880  | 0.1709          | 52.1285 | 18.5417 |
+| No log        | 1.0   | 440  | 0.1099          | 87.5309 | 36.25   |
+| 0.2393        | 2.0   | 880  | 0.0924          | 87.9207 | 36.5    |
 
 
 ### Framework versions

generation_config.json

@@ -1,6 +1,11 @@
 {
+  "bos_token_id": 0,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
+  "forced_eos_token_id": 1,
+  "length_penalty": 0.8,
+  "max_length": 256,
+  "num_beams": 8,
   "pad_token_id": 0,
   "transformers_version": "4.50.0"
 }