Martin97Bozic
commited on
Commit
•
b69e824
1
Parent(s):
c5ec8e7
Added model and its readme
Browse files- README.md +42 -0
- config.json +32 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer_config.json +113 -0
README.md
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---
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license: cc-by-sa-4.0
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---
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---
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license: cc-by-sa-4.0
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datasets:
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- cjvt/cc_gigafida
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language:
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- sl
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tags:
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- word spelling correction
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---
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---
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language:
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- sl
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license: cc-by-sa-4.0
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---
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# T5-incorrect-word-spelling-corrector
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This T5 model is designed to identify and correct words with incorrect spelling in the Slovenian language.
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## Model Output Example
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Consider the following Slovenian text:
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_Model v besedlu popravi napaake v nepravilno črkovanih besedah._
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The model might return the following text (note: predictions chosen for demonstration/explanation, not reproducibility!):
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_Model v besedilu popravi napake v nepravilno črkovanih besedah._
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We observe that in the input sentence, the words `besedlu` and `napaake` are incorrectly spelled, so the model corrects them to `besedilu` and `napake`.
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## More details
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Testing the model with generated test sets provides the following result (combining detection and correction of words with incorrect spelling):
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- `Precission`: 0,984
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- `Recall`: 0,909
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- `F1`: 0,945
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config.json
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{
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"_name_or_path": "./t5-sl-small/",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 1024,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"gradient_checkpointing": false,
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"num_decoder_layers": 8,
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"num_heads": 6,
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"num_layers": 8,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.31.0",
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"use_cache": true,
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"vocab_size": 32000
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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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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.31.0"
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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 sha256:660914a9dbff7d99fe23c55520c114928bb3a35d28347c16f823db692b89708f
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size 307385861
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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],
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"eos_token": "</s>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:79e3205b5a25b7a3b6fa48ea60d1c71d3b0f7adbaeb1d58949b04f8454946465
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size 797053
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tokenizer_config.json
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{
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"additional_special_tokens": [
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],
|
104 |
+
"clean_up_tokenization_spaces": true,
|
105 |
+
"eos_token": "</s>",
|
106 |
+
"extra_ids": 100,
|
107 |
+
"legacy": true,
|
108 |
+
"model_max_length": 1000000000000000019884624838656,
|
109 |
+
"pad_token": "<pad>",
|
110 |
+
"sp_model_kwargs": {},
|
111 |
+
"tokenizer_class": "T5Tokenizer",
|
112 |
+
"unk_token": "<unk>"
|
113 |
+
}
|