End of training

README.md

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+---
+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
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# output
+
+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
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- 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: 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

config.json

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+{
+  "_name_or_path": "Helsinki-NLP/opus-mt-tc-big-hu-en",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bad_words_ids": [
+    [
+      56972
+    ]
+  ],
+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 56972,
+  "decoder_vocab_size": 56973,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 44513,
+  "forced_eos_token_id": 44513,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_length": 512,
+  "max_position_embeddings": 1024,
+  "model_type": "marian",
+  "normalize_embedding": false,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 56972,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 56973
+}

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      56972
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 56972,
+  "eos_token_id": 44513,
+  "forced_eos_token_id": 44513,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 56972,
+  "renormalize_logits": true,
+  "transformers_version": "4.35.2"
+}

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training_args.bin

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