Training complete

README.md

@@ -5,6 +5,8 @@ base_model: google-t5/t5-small
 tags:
 - simplification
 - generated_from_trainer
+metrics:
+- bleu
 model-index:
 - name: t5-neutralization
   results: []
@@ -16,6 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-neutralization
 
 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1686
+- Bleu: 53.022
+- Gen Len: 18.5417
 
 ## Model description
 
@@ -35,23 +41,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5.6e-05
-- train_batch_size: 18
-- eval_batch_size: 18
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 196  | 0.2997          | 52.9831 | 18.5417 |
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 440  | 0.1988          | 53.022 | 18.5417 |
+| 0.2893        | 2.0   | 880  | 0.1686          | 53.022 | 18.5417 |
 
 
 ### Framework versions
 
-- Transformers 5.2.0
-- Pytorch 2.10.0+cpu
-- Datasets 4.6.0
-- Tokenizers 0.22.2
+- Transformers 4.51.2
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.21.4

generation_config.json

@@ -1,37 +1,6 @@
 {
-  "_from_model_config": false,
-  "assistant_confidence_threshold": 0.4,
-  "assistant_lookbehind": 10,
   "decoder_start_token_id": 0,
-  "diversity_penalty": 0.0,
-  "do_sample": false,
-  "early_stopping": false,
-  "encoder_no_repeat_ngram_size": 0,
-  "encoder_repetition_penalty": 1.0,
-  "eos_token_id": [
-    1
-  ],
-  "epsilon_cutoff": 0.0,
-  "eta_cutoff": 0.0,
-  "length_penalty": 1.0,
-  "max_length": 20,
-  "min_length": 0,
-  "no_repeat_ngram_size": 0,
-  "num_assistant_tokens": 20,
-  "num_assistant_tokens_schedule": "constant",
-  "num_beam_groups": 1,
-  "num_beams": 1,
-  "num_return_sequences": 1,
-  "output_scores": false,
+  "eos_token_id": 1,
   "pad_token_id": 0,
-  "remove_invalid_values": false,
-  "repetition_penalty": 1.0,
-  "return_dict_in_generate": false,
-  "target_lookbehind": 10,
-  "temperature": 1.0,
-  "top_k": 50,
-  "top_p": 1.0,
-  "transformers_version": "5.2.0",
-  "typical_p": 1.0,
-  "use_cache": true
+  "transformers_version": "4.51.2"
 }