abdiharyadi
commited on
Commit
•
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Parent(s):
95b445e
End of training
Browse files- README.md +56 -0
- config.json +61 -0
- generation_config.json +16 -0
- model.safetensors +3 -0
- runs/May15_02-37-42_f70ae42dd38c/events.out.tfevents.1715740838.f70ae42dd38c.24103.0 +3 -0
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- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: Helsinki-NLP/opus-mt-en-id
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tags:
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- generated_from_trainer
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model-index:
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- name: opus-mt-ft
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results: []
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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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# opus-mt-ft
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-id](https://huggingface.co/Helsinki-NLP/opus-mt-en-id) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.3055
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- eval_exact_match: 1.0
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- eval_runtime: 9.9977
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- eval_samples_per_second: 4.001
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- eval_steps_per_second: 0.5
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- epoch: 5.0
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- step: 25
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "Helsinki-NLP/opus-mt-en-id",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "swish",
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"add_bias_logits": false,
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"add_final_layer_norm": false,
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"architectures": [
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"MarianMTModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"classif_dropout": 0.0,
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"classifier_dropout": 0.0,
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"d_model": 512,
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"decoder_vocab_size": 54796,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_token_id": 0,
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"forced_eos_token_id": 0,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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"max_length": 512,
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"max_position_embeddings": 512,
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"model_type": "marian",
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"normalize_before": false,
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"normalize_embedding": false,
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"num_beams": 4,
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"num_hidden_layers": 6,
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"pad_token_id": 54795,
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"scale_embedding": true,
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"share_encoder_decoder_embeddings": true,
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"static_position_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size": 54796
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}
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generation_config.json
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}
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