End of training

README.md

@@ -2,6 +2,8 @@
 base_model: UrukHan/t5-russian-spell
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: t5-russian-spell
   results: []
@@ -13,6 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-russian-spell
 
 This model is a fine-tuned version of [UrukHan/t5-russian-spell](https://huggingface.co/UrukHan/t5-russian-spell) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.9129
+- Rouge1: 0.176
+- Rouge2: 0.0
+- Rougel: 0.1793
+- Rougelsum: 0.1772
+- Gen Len: 198.0413
 
 ## Model description
 
@@ -32,16 +41,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
+| 7.8172        | 9.01  | 5000 | 7.9129          | 0.176  | 0.0    | 0.1793 | 0.1772    | 198.0413 |
 
 
 ### Framework versions

generation_config.json

@@ -1,5 +1,4 @@
 {
-  "_from_model_config": true,
   "decoder_start_token_id": 0,
   "eos_token_id": 2,
   "max_length": 256,

runs/Dec15_05-39-30_f400652e9e69/events.out.tfevents.1702618771.f400652e9e69.773.0

@@ -1,3 +1,3 @@
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-size 7378
+oid sha256:93e1363b8677285108ea0e6d8c38c52fbfb88e9f4be61c10940b046f02c9a396
+size 7889