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alinatl
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m2m100-ky-en

Transformers
Safetensors
m2m_100
text2text-generation
Generated from Trainer
Model card Files
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alinatl/m2m100-ky-en

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  1. README.md +77 -0
  2. added_tokens.json +0 -0
  3. config.json +36 -0
  4. generation_config.json +12 -0
  5. model.safetensors +3 -0
  6. sentencepiece.bpe.model +3 -0
  7. special_tokens_map.json +716 -0
  8. tokenizer_config.json +0 -0
  9. training_args.bin +3 -0
  10. vocab.json +0 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: facebook/m2m100_418M
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: m2m100-ky-en
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # m2m100-ky-en
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+
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+ This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1425
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+ - Chrf++: 42.9292
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+ - Bleu: 0.1388
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 6
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Chrf++ | Bleu |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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+ | 3.453 | 0.4639 | 90 | 1.4171 | 31.5406 | 0.0619 |
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+ | 0.7793 | 0.9278 | 180 | 1.2463 | 36.7296 | 0.0912 |
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+ | 0.5573 | 1.3918 | 270 | 1.2096 | 38.6167 | 0.1059 |
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+ | 0.506 | 1.8557 | 360 | 1.1481 | 39.9577 | 0.1186 |
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+ | 0.3964 | 2.3196 | 450 | 1.1479 | 40.8569 | 0.1258 |
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+ | 0.3543 | 2.7835 | 540 | 1.1372 | 41.3424 | 0.1261 |
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+ | 0.2886 | 3.2474 | 630 | 1.1387 | 42.2531 | 0.1352 |
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+ | 0.2554 | 3.7113 | 720 | 1.1344 | 42.0227 | 0.1348 |
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+ | 0.2321 | 4.1753 | 810 | 1.1319 | 42.2876 | 0.1360 |
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+ | 0.1921 | 4.6392 | 900 | 1.1365 | 42.7091 | 0.1374 |
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+ | 0.1856 | 5.1031 | 990 | 1.1437 | 42.5069 | 0.1374 |
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+ | 0.1533 | 5.5670 | 1080 | 1.1425 | 42.9292 | 0.1388 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.55.4
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+ - Pytorch 2.8.0+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
added_tokens.json ADDED
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config.json ADDED
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+ {
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "architectures": [
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+ "M2M100ForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 0,
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+ "d_model": 1024,
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+ "decoder_attention_heads": 16,
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+ "decoder_ffn_dim": 4096,
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+ "decoder_layerdrop": 0.05,
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+ "decoder_layers": 12,
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+ "eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "init_std": 0.02,
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+ "is_encoder_decoder": true,
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+ "max_length": null,
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+ "max_position_embeddings": 1024,
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+ "model_type": "m2m_100",
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+ "num_beams": null,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "scale_embedding": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.55.4",
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+ "use_cache": true,
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+ "vocab_size": 142571
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+ }
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+ "num_beams": 5,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.55.4"
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+ }
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