Training in progress, step 500

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-fr
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: opus-mt-en-fr_wmt14_En_Fr_1million_20epochs_v2
+  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. -->
+
+# opus-mt-en-fr_wmt14_En_Fr_1million_20epochs_v2
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.7777
+- Bleu: 0.0052
+- Gen Len: 511.0
+
+## 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: 0.002
+- train_batch_size: 60
+- eval_batch_size: 60
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
+| 2.0731        | 1.0   | 1667  | 4.9161          | 0.0    | 511.0   |
+| 2.0281        | 2.0   | 3334  | 4.0396          | 0.0001 | 511.0   |
+| 2.0226        | 3.0   | 5001  | 6.5526          | 0.0    | 511.0   |
+| 1.9991        | 4.0   | 6668  | 4.6473          | 0.0001 | 511.0   |
+| 1.991         | 5.0   | 8335  | 3.9736          | 0.0052 | 511.0   |
+| 1.9749        | 6.0   | 10002 | 4.4897          | 0.0052 | 511.0   |
+| 1.983         | 7.0   | 11669 | 5.7620          | 0.0052 | 511.0   |
+| 1.9791        | 8.0   | 13336 | 5.9320          | 0.0    | 511.0   |
+| 1.9494        | 9.0   | 15003 | 3.9506          | 0.0052 | 511.0   |
+| 1.9482        | 10.0  | 16670 | 5.2391          | 0.0052 | 511.0   |
+| 1.9328        | 11.0  | 18337 | 3.7053          | 0.0052 | 511.0   |
+| 1.9201        | 12.0  | 20004 | 5.6524          | 0.0052 | 511.0   |
+| 1.9242        | 13.0  | 21671 | 4.2519          | 0.0    | 511.0   |
+| 1.9132        | 14.0  | 23338 | 6.6592          | 0.0052 | 511.0   |
+| 1.9154        | 15.0  | 25005 | 6.1263          | 0.0052 | 511.0   |
+| 1.9052        | 16.0  | 26672 | 7.1135          | 0.0052 | 511.0   |
+| 1.9128        | 17.0  | 28339 | 6.1183          | 0.0    | 511.0   |
+| 1.9015        | 18.0  | 30006 | 7.0262          | 0.0052 | 511.0   |
+| 1.9025        | 19.0  | 31673 | 6.0193          | 0.0052 | 511.0   |
+| 1.9015        | 20.0  | 33340 | 6.7777          | 0.0052 | 511.0   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 1.12.1
+- Datasets 2.18.0
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "Helsinki-NLP/opus-mt-en-fr",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "swish",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bad_words_ids": [
+    [
+      59513
+    ]
+  ],
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 512,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 59513,
+  "decoder_vocab_size": 59514,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_length": 512,
+  "max_position_embeddings": 512,
+  "model_type": "marian",
+  "normalize_before": false,
+  "normalize_embedding": false,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 59513,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.1",
+  "use_cache": true,
+  "vocab_size": 59514
+}

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      59513
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 59513,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 59513,
+  "renormalize_logits": true,
+  "transformers_version": "4.32.1"
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "separate_vocabs": false,
+  "source_lang": "en",
+  "sp_model_kwargs": {},
+  "target_lang": "fr",
+  "tokenizer_class": "MarianTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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