Model save

README.md

@@ -3,17 +3,9 @@ license: cc-by-4.0
 base_model: Helsinki-NLP/opus-mt-tc-big-hu-en
 tags:
 - generated_from_trainer
-metrics:
-- bleu
 model-index:
-- name: output
+- name: opus-mt-tc-big-hu-en-finetuned-news
   results: []
-datasets:
-- matekadlicsko/hungarian-news-translations
-language:
-- hu
-- en
-pipeline_tag: translation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -21,11 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # opus-mt-tc-big-hu-en-finetuned-news
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-hu-en](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-hu-en) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.1956
-- Bleu: 39.6514
-- Gen Len: 51.7972
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-hu-en](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-hu-en) on an unknown dataset.
 
 ## Model description
 
@@ -52,27 +40,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 0.23  | 150  | 1.2390          | 37.7285 | 51.2344 |
-| No log        | 0.46  | 300  | 1.2198          | 38.0141 | 50.9959 |
-| No log        | 0.7   | 450  | 1.1969          | 38.4344 | 51.464  |
-| 1.2949        | 0.93  | 600  | 1.1898          | 38.6658 | 51.379  |
-| 1.2949        | 1.16  | 750  | 1.1968          | 38.646  | 51.34   |
-| 1.2949        | 1.39  | 900  | 1.1948          | 38.9869 | 51.7807 |
-| 1.0345        | 1.62  | 1050 | 1.1866          | 39.1708 | 51.7604 |
-| 1.0345        | 1.85  | 1200 | 1.1792          | 39.4682 | 51.661  |
-| 1.0345        | 2.09  | 1350 | 1.1974          | 39.5432 | 51.882  |
-| 0.8679        | 2.32  | 1500 | 1.1971          | 39.5958 | 51.7895 |
-| 0.8679        | 2.55  | 1650 | 1.1980          | 39.5926 | 52.0244 |
-| 0.8679        | 2.78  | 1800 | 1.1961          | 39.6369 | 51.8143 |
-
-
 ### Framework versions
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+- Datasets 2.17.0
+- Tokenizers 0.15.1

model.safetensors

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training_args.bin

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