harouzie/mt5-small-translation-en2vi

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 11.7288
-- Bleu: 0.0178
-- Gen Len: 2.8244
+- Loss: 22.2680
+- Bleu: 0.0468
+- Gen Len: 2.2283
 
 ## Model description
 
@@ -52,12 +52,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 317  | 11.7877         | 0.0797 | 2.8268  |
+| No log        | 0.99  | 63   | 22.7318         | 0.0494 | 2.2717  |
 
 
 ### Framework versions
 
-- Transformers 4.33.1
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
 - Tokenizers 0.13.3

config.json

@@ -26,7 +26,7 @@
   "tie_word_embeddings": false,
   "tokenizer_class": "T5Tokenizer",
   "torch_dtype": "float32",
-  "transformers_version": "4.33.1",
+  "transformers_version": "4.33.0",
   "use_cache": true,
   "vocab_size": 250102
 }

generation_config.json

@@ -2,5 +2,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.33.1"
+  "transformers_version": "4.33.0"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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training_args.bin

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