End of training

README.md

@@ -1,7 +1,7 @@
 ---
-base_model: facebook/mbart-large-50
 library_name: transformers
 license: mit
+base_model: facebook/mbart-large-50
 tags:
 - generated_from_trainer
 model-index:
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0105
+- Loss: 0.0111
 
 ## Model description
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use 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: 3
 
@@ -47,13 +47,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.4406        | 1.1641 | 1000 | 0.0237          |
-| 0.0243        | 2.3283 | 2000 | 0.0105          |
+| 1.6089        | 0.6667 | 200  | 0.0635          |
+| 0.0572        | 1.3333 | 400  | 0.0297          |
+| 0.0352        | 2.0    | 600  | 0.0168          |
+| 0.0195        | 2.6667 | 800  | 0.0111          |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
-- Pytorch 2.4.1+cu121
-- Datasets 3.0.0
-- Tokenizers 0.19.1
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

@@ -8,5 +8,5 @@
   "max_length": 200,
   "num_beams": 5,
   "pad_token_id": 1,
-  "transformers_version": "4.44.2"
+  "transformers_version": "4.47.1"
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 2444578688

runs/Jan12_12-23-38_353270b004df/events.out.tfevents.1736684621.353270b004df.5788.0

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