cartesinus
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Commit
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Parent(s):
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Add model, config, tokenizer, and custom code
Browse files- README.md +70 -0
- config.json +21 -0
- generation_config.json +8 -0
- model.safetensors +3 -0
- runs/Nov07_17-00-13_a7acbcf9565f/events.out.tfevents.1730998814.a7acbcf9565f.1654.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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datasets:
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- iva_mt_wslot
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metrics:
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- bleu
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model-index:
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- name: seq2seq-imlla-test
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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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# seq2seq-imlla-test
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This model is a fine-tuned version of [](https://huggingface.co/) on the iva_mt_wslot dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.0838
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- Bleu: 0.1564
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- Gen Len: 7.7876
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
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| 7.381 | 0.9992 | 636 | 7.0427 | 0.0009 | 4.4319 |
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| 6.5076 | 2.0 | 1273 | 6.4710 | 0.1178 | 12.0321 |
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| 6.0729 | 2.9992 | 1909 | 6.2192 | 0.1097 | 8.2657 |
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| 5.8922 | 4.0 | 2546 | 6.1254 | 0.1464 | 9.1024 |
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| 5.7405 | 4.9961 | 3180 | 6.0838 | 0.1564 | 7.7876 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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config.json
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{
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"architectures": [
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"CustomSeq2SeqModel"
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],
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"bos_token_id": 0,
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"dec_emb_dim": 256,
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"decoder_start_token_id": 1,
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"dropout": 0.1,
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"enc_emb_dim": 256,
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"eos_token_id": 2,
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"hidden_dim": 256,
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"max_position_embeddings": 256,
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"model_type": "custom_seq2seq",
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"n_layers": 3,
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"num_attention_heads": 8,
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"pad_token_id": 1,
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"share_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"vocab_size": 28297
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.44.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eaec370b26e0baba405b59911ef9b1b3b4ebaf4e23efc5558e94f51d22fb5c29
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size 109582088
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runs/Nov07_17-00-13_a7acbcf9565f/events.out.tfevents.1730998814.a7acbcf9565f.1654.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0320e520afad4da03078a259e0db66df94f978f839913b22d12bcbfa0a14f49
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size 20281
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special_tokens_map.json
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{
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"bos_token": "<bos>",
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"eos_token": "<eos>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<bos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<bos>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<eos>",
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"model_max_length": 256,
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"pad_token": "<pad>",
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"tokenizer_class": "PreTrainedTokenizerFast",
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:755599dcde2e330c7f603634715d07f5e72b285fb4719a689c6fad2302af3f3e
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size 5368
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