End of training

README.md

@@ -4,18 +4,18 @@ base_model: facebook/bart-base
 tags:
 - generated_from_trainer
 model-index:
-- name: bart-with-noise-data
+- name: bart-with-asr-noise-del-0.1
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# bart-with-noise-data
+# bart-with-asr-noise-del-0.1
 
 This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2749
+- Loss: 0.3546
 
 ## Model description
 
@@ -42,20 +42,20 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 10
 - num_epochs: 3
-- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.5397        | 0.87  | 500  | 0.3145          |
-| 0.2586        | 1.73  | 1000 | 0.2909          |
-| 0.2764        | 2.6   | 1500 | 0.2749          |
+| 0.4582        | 0.62  | 500  | 0.3819          |
+| 0.3364        | 1.24  | 1000 | 0.3736          |
+| 0.2773        | 1.86  | 1500 | 0.3411          |
+| 0.1604        | 2.48  | 2000 | 0.3546          |
 
 
 ### Framework versions
 
 - Transformers 4.37.2
 - Pytorch 2.1.2+cu121
-- Datasets 2.17.0
-- Tokenizers 0.15.1
+- Datasets 2.17.1
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:9ef68070045adf4ec77555821a3699605ff9c4701daff4fbe62530eb5768cf1d
 size 557912620