Training complete

README.md

@@ -15,8 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # mt5-small-finetuned
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.7168
 
 ## Model description
 
@@ -43,17 +41,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 3.2684        | 1.0   | 1013 | 2.7165          |
-| 3.251         | 2.0   | 2026 | 2.7168          |
-
-
 ### Framework versions
 
-- Transformers 4.40.1
+- Transformers 4.41.0
 - Pytorch 2.2.1+cu121
-- Datasets 2.19.0
+- Datasets 2.19.1
 - Tokenizers 0.19.1

generation_config.json

@@ -1,6 +1,7 @@
 {
+  "_from_model_config": true,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.40.1"
+  "transformers_version": "4.41.0"
 }

model.safetensors

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tokenizer.json

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training_args.bin

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