End of training

README.md

@@ -1,13 +1,8 @@
 ---
 license: apache-2.0
-base_model: duraad/nep-spell-mt5-small-0
+base_model: google/mt5-small
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- precision
-- recall
-- f1
 model-index:
 - name: nep-spell-mt5-small-1
   results: []
@@ -18,13 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # nep-spell-mt5-small-1
 
-This model is a fine-tuned version of [duraad/nep-spell-mt5-small-0](https://huggingface.co/duraad/nep-spell-mt5-small-0) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: nan
-- Accuracy: 0.8618
-- Precision: 0.8972
-- Recall: 0.8618
-- F1: 0.8742
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 
 ## Model description
 
@@ -55,9 +44,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.0           | 1.0   | 10000 | nan             | 0.8618   | 0.8972    | 0.8618 | 0.8742 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
+| No log        | 0.79  | 500  | nan             | 0.0      | 0.0       | 0.0    | 0.0 |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "duraad/nep-spell-mt5-small-0",
+  "_name_or_path": "google/mt5-small",
   "architectures": [
     "MT5ForConditionalGeneration"
   ],

logs/events.out.tfevents.1708269444.5179578f2023.768.0

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model.safetensors

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training_args.bin

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