initial
Browse files- README.md +51 -0
- all_results.json +8 -0
- config.json +38 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +109 -0
- tokenizer_config.json +119 -0
- train_results.json +8 -0
- trainer_state.json +241 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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---
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---
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language:
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- br
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- fr
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: m2m100_br_fr
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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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# m2m100_br_fr
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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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## 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: 3.0
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### Training results
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu116
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 1.4955534830489579,
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"train_runtime": 15709.331,
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"train_samples": 48907,
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"train_samples_per_second": 9.34,
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"train_steps_per_second": 1.168
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}
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config.json
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{
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"_name_or_path": "facebook/m2m100_418M",
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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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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.05,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"forced_bos_token_id": 128028,
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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": 200,
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"max_position_embeddings": 1024,
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"model_type": "m2m_100",
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"num_beams": 5,
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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": "4.23.1",
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"use_cache": true,
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"vocab_size": 128112
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e6ca2e2048c0abf133d1ea4f986221f7744da591536e2c96c4aa7c8ad290d8e
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size 1935792071
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a
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size 2423393
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special_tokens_map.json
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{
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tokenizer_config.json
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{
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"additional_special_tokens": [
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],
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"bos_token": "<s>",
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"eos_token": "</s>",
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"language_codes": "m2m100",
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"model_max_length": 1024,
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"name_or_path": "facebook/m2m100_418M",
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