Subiendo modelo de traducción de español a ayuuk
Browse files- bible_and_corpus1.csv +0 -0
- full_corpus_bible.csv +0 -0
- full_corpus_index.csv +0 -0
- sp_ay_translator/checkpoint-2000/config.json +61 -0
- sp_ay_translator/checkpoint-2000/generation_config.json +7 -0
- sp_ay_translator/checkpoint-2000/model.safetensors +3 -0
- sp_ay_translator/checkpoint-2000/optimizer.pt +3 -0
- sp_ay_translator/checkpoint-2000/rng_state.pth +3 -0
- sp_ay_translator/checkpoint-2000/scheduler.pt +3 -0
- sp_ay_translator/checkpoint-2000/special_tokens_map.json +125 -0
- sp_ay_translator/checkpoint-2000/spiece.model +3 -0
- sp_ay_translator/checkpoint-2000/tokenizer.json +0 -0
- sp_ay_translator/checkpoint-2000/tokenizer_config.json +937 -0
- sp_ay_translator/checkpoint-2000/trainer_state.json +49 -0
- sp_ay_translator/checkpoint-2000/training_args.bin +3 -0
- sp_ay_translator/checkpoint-2500/config.json +61 -0
- sp_ay_translator/checkpoint-2500/generation_config.json +7 -0
- sp_ay_translator/checkpoint-2500/model.safetensors +3 -0
- sp_ay_translator/checkpoint-2500/optimizer.pt +3 -0
- sp_ay_translator/checkpoint-2500/rng_state.pth +3 -0
- sp_ay_translator/checkpoint-2500/scheduler.pt +3 -0
- sp_ay_translator/checkpoint-2500/special_tokens_map.json +125 -0
- sp_ay_translator/checkpoint-2500/spiece.model +3 -0
- sp_ay_translator/checkpoint-2500/tokenizer.json +0 -0
- sp_ay_translator/checkpoint-2500/tokenizer_config.json +937 -0
- sp_ay_translator/checkpoint-2500/trainer_state.json +56 -0
- sp_ay_translator/checkpoint-2500/training_args.bin +3 -0
- sp_ay_translator/checkpoint-3000/config.json +61 -0
- sp_ay_translator/checkpoint-3000/generation_config.json +7 -0
- sp_ay_translator/checkpoint-3000/model.safetensors +3 -0
- sp_ay_translator/checkpoint-3000/optimizer.pt +3 -0
- sp_ay_translator/checkpoint-3000/rng_state.pth +3 -0
- sp_ay_translator/checkpoint-3000/scheduler.pt +3 -0
- sp_ay_translator/checkpoint-3000/special_tokens_map.json +125 -0
- sp_ay_translator/checkpoint-3000/spiece.model +3 -0
- sp_ay_translator/checkpoint-3000/tokenizer.json +0 -0
- sp_ay_translator/checkpoint-3000/tokenizer_config.json +937 -0
- sp_ay_translator/checkpoint-3000/trainer_state.json +63 -0
- sp_ay_translator/checkpoint-3000/training_args.bin +3 -0
- sp_ay_translator/config.json +61 -0
- sp_ay_translator/model.safetensors +3 -0
- sp_ay_translator/runs/Nov18_17-00-03_DESKTOP-NSD2R8G/events.out.tfevents.1731970808.DESKTOP-NSD2R8G.3180.0 +3 -0
- sp_ay_translator/runs/Nov18_17-00-03_DESKTOP-NSD2R8G/events.out.tfevents.1731974944.DESKTOP-NSD2R8G.3180.1 +3 -0
- sp_ay_translator/special_tokens_map.json +125 -0
- sp_ay_translator/spiece.model +3 -0
- sp_ay_translator/tokenizer.json +0 -0
- sp_ay_translator/tokenizer_config.json +937 -0
- sp_ay_translator/training_args.bin +3 -0
- translator_bible_v1.ipynb +514 -0
bible_and_corpus1.csv
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full_corpus_bible.csv
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full_corpus_index.csv
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sp_ay_translator/checkpoint-2000/config.json
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{
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"_name_or_path": "google-t5/t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2048,
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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": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 6,
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"num_heads": 8,
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"num_layers": 6,
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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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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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| 51 |
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.39.1",
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"use_cache": true,
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"vocab_size": 32128
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}
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sp_ay_translator/checkpoint-2000/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": "4.39.1"
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}
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sp_ay_translator/checkpoint-2000/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:af5acfdaf3e2a629dcbc7d57002ad820cc31ad4458a11b4a1a1a7c86268207b3
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size 242041896
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sp_ay_translator/checkpoint-2000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 484163077
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sp_ay_translator/checkpoint-2000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14575
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sp_ay_translator/checkpoint-2000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b70fb5fc67024e109085602cb419a870b8c64ccc2a2a19d866f4a24125790c44
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size 627
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sp_ay_translator/checkpoint-2000/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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"<extra_id_1>",
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"<extra_id_99>"
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],
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"eos_token": {
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| 105 |
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"content": "</s>",
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| 106 |
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"lstrip": false,
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| 107 |
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"normalized": false,
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| 108 |
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"rstrip": false,
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| 109 |
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"single_word": false
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| 110 |
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},
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| 111 |
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"pad_token": {
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| 112 |
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"content": "<pad>",
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"lstrip": false,
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| 114 |
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"normalized": false,
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| 115 |
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"rstrip": false,
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| 116 |
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"single_word": false
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| 117 |
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},
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| 118 |
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"unk_token": {
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| 119 |
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"content": "<unk>",
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| 120 |
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"lstrip": false,
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| 121 |
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"normalized": false,
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| 122 |
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"rstrip": false,
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| 123 |
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"single_word": false
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| 124 |
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}
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| 125 |
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}
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sp_ay_translator/checkpoint-2000/spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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| 3 |
+
size 791656
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sp_ay_translator/checkpoint-2000/tokenizer.json
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The diff for this file is too large to render.
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sp_ay_translator/checkpoint-2000/tokenizer_config.json
ADDED
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@@ -0,0 +1,937 @@
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|
| 1 |
+
{
|
| 2 |
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"added_tokens_decoder": {
|
| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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|
| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 58 |
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| 60 |
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| 61 |
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| 64 |
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| 66 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 82 |
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| 84 |
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| 92 |
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| 93 |
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| 101 |
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| 106 |
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| 194 |
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| 283 |
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| 285 |
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| 293 |
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| 320 |
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| 322 |
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sp_ay_translator/checkpoint-2000/trainer_state.json
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sp_ay_translator/checkpoint-2000/training_args.bin
ADDED
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sp_ay_translator/checkpoint-2500/config.json
ADDED
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@@ -0,0 +1,61 @@
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sp_ay_translator/checkpoint-2500/generation_config.json
ADDED
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ADDED
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ADDED
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ADDED
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|
| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": {
|
| 105 |
+
"content": "</s>",
|
| 106 |
+
"lstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"rstrip": false,
|
| 109 |
+
"single_word": false
|
| 110 |
+
},
|
| 111 |
+
"pad_token": {
|
| 112 |
+
"content": "<pad>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"unk_token": {
|
| 119 |
+
"content": "<unk>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
}
|
| 125 |
+
}
|
sp_ay_translator/checkpoint-2500/spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
sp_ay_translator/checkpoint-2500/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sp_ay_translator/checkpoint-2500/tokenizer_config.json
ADDED
|
@@ -0,0 +1,937 @@
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| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
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| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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| 15 |
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|
| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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|
| 106 |
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| 107 |
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|
| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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|
| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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|
| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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|
| 146 |
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| 147 |
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|
| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 160 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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|
| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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|
| 194 |
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| 195 |
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|
| 196 |
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|
| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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|
| 204 |
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|
| 205 |
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| 206 |
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
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| 214 |
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| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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| 221 |
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| 222 |
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| 223 |
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| 224 |
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| 225 |
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| 226 |
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| 227 |
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| 228 |
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| 233 |
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| 234 |
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| 243 |
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| 244 |
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| 281 |
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| 282 |
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| 283 |
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| 284 |
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sp_ay_translator/checkpoint-2500/training_args.bin
ADDED
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sp_ay_translator/checkpoint-3000/config.json
ADDED
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| 42 |
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| 43 |
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| 46 |
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| 48 |
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| 49 |
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| 51 |
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| 53 |
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| 55 |
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| 56 |
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| 57 |
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|
| 58 |
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| 59 |
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|
| 60 |
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| 61 |
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sp_ay_translator/checkpoint-3000/generation_config.json
ADDED
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@@ -0,0 +1,7 @@
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|
| 7 |
+
}
|
sp_ay_translator/checkpoint-3000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:328c56807762ffcec0fd1fcb88e8ae677193edc0df887e25daca6504fbf196a3
|
| 3 |
+
size 242041896
|
sp_ay_translator/checkpoint-3000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8db0e3e967cd9e3d93e996b25a2b490f76ce453c41af4b21ac06237ed5e86cc0
|
| 3 |
+
size 484163077
|
sp_ay_translator/checkpoint-3000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:af06bf6e8edd6c4f650808e240be021391dc0f5d24019cad62a822961a083f5a
|
| 3 |
+
size 14575
|
sp_ay_translator/checkpoint-3000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:026f1c357d47bfac86da1977da2907a0269d3181a9d9bca15419927a160122e2
|
| 3 |
+
size 627
|
sp_ay_translator/checkpoint-3000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,125 @@
|
|
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|
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|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<extra_id_0>",
|
| 4 |
+
"<extra_id_1>",
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
+
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|
| 91 |
+
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|
| 92 |
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|
| 93 |
+
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|
| 94 |
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|
| 95 |
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"<extra_id_92>",
|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
+
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|
| 100 |
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|
| 101 |
+
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|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": {
|
| 105 |
+
"content": "</s>",
|
| 106 |
+
"lstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"rstrip": false,
|
| 109 |
+
"single_word": false
|
| 110 |
+
},
|
| 111 |
+
"pad_token": {
|
| 112 |
+
"content": "<pad>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"unk_token": {
|
| 119 |
+
"content": "<unk>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
}
|
| 125 |
+
}
|
sp_ay_translator/checkpoint-3000/spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
sp_ay_translator/checkpoint-3000/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
sp_ay_translator/checkpoint-3000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,937 @@
|
|
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
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"content": "<pad>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "</s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "<unk>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"32000": {
|
| 28 |
+
"content": "<extra_id_99>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
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"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
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"32001": {
|
| 36 |
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"content": "<extra_id_98>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
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"normalized": false,
|
| 39 |
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"rstrip": false,
|
| 40 |
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"single_word": false,
|
| 41 |
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"special": true
|
| 42 |
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},
|
| 43 |
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"32002": {
|
| 44 |
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"content": "<extra_id_97>",
|
| 45 |
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|
| 46 |
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"normalized": false,
|
| 47 |
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"rstrip": false,
|
| 48 |
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"single_word": false,
|
| 49 |
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"special": true
|
| 50 |
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},
|
| 51 |
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"32003": {
|
| 52 |
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"content": "<extra_id_96>",
|
| 53 |
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"lstrip": false,
|
| 54 |
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"normalized": false,
|
| 55 |
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"rstrip": false,
|
| 56 |
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"single_word": false,
|
| 57 |
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"special": true
|
| 58 |
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},
|
| 59 |
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"32004": {
|
| 60 |
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"content": "<extra_id_95>",
|
| 61 |
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"lstrip": false,
|
| 62 |
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"normalized": false,
|
| 63 |
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"rstrip": false,
|
| 64 |
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"single_word": false,
|
| 65 |
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"special": true
|
| 66 |
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},
|
| 67 |
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"32005": {
|
| 68 |
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"content": "<extra_id_94>",
|
| 69 |
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"lstrip": false,
|
| 70 |
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"normalized": false,
|
| 71 |
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"rstrip": false,
|
| 72 |
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"single_word": false,
|
| 73 |
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"special": true
|
| 74 |
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},
|
| 75 |
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"32006": {
|
| 76 |
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"content": "<extra_id_93>",
|
| 77 |
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"lstrip": false,
|
| 78 |
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"normalized": false,
|
| 79 |
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"rstrip": false,
|
| 80 |
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"single_word": false,
|
| 81 |
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"special": true
|
| 82 |
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},
|
| 83 |
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"32007": {
|
| 84 |
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"content": "<extra_id_92>",
|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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"single_word": false,
|
| 89 |
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"special": true
|
| 90 |
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},
|
| 91 |
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"32008": {
|
| 92 |
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"content": "<extra_id_91>",
|
| 93 |
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"lstrip": false,
|
| 94 |
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"normalized": false,
|
| 95 |
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"rstrip": false,
|
| 96 |
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"single_word": false,
|
| 97 |
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"special": true
|
| 98 |
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},
|
| 99 |
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"32009": {
|
| 100 |
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"content": "<extra_id_90>",
|
| 101 |
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"lstrip": false,
|
| 102 |
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"normalized": false,
|
| 103 |
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"rstrip": false,
|
| 104 |
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"single_word": false,
|
| 105 |
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"special": true
|
| 106 |
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},
|
| 107 |
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"32010": {
|
| 108 |
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"content": "<extra_id_89>",
|
| 109 |
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"lstrip": false,
|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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"special": true
|
| 114 |
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|
| 115 |
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"32011": {
|
| 116 |
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"content": "<extra_id_88>",
|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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"single_word": false,
|
| 121 |
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"special": true
|
| 122 |
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|
| 123 |
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"32012": {
|
| 124 |
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"content": "<extra_id_87>",
|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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"special": true
|
| 130 |
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},
|
| 131 |
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"32013": {
|
| 132 |
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"content": "<extra_id_86>",
|
| 133 |
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|
| 134 |
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|
| 135 |
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"rstrip": false,
|
| 136 |
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"single_word": false,
|
| 137 |
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"special": true
|
| 138 |
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},
|
| 139 |
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"32014": {
|
| 140 |
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"content": "<extra_id_85>",
|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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"special": true
|
| 146 |
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|
| 147 |
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"32015": {
|
| 148 |
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"content": "<extra_id_84>",
|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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"single_word": false,
|
| 153 |
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"special": true
|
| 154 |
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},
|
| 155 |
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"32016": {
|
| 156 |
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"content": "<extra_id_83>",
|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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"special": true
|
| 162 |
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},
|
| 163 |
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"32017": {
|
| 164 |
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"content": "<extra_id_82>",
|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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"32018": {
|
| 172 |
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sp_ay_translator/checkpoint-3000/trainer_state.json
ADDED
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@@ -0,0 +1,63 @@
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|
| 1 |
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| 11 |
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| 32 |
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|
| 47 |
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|
| 48 |
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| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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"logging_steps": 500,
|
| 55 |
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"max_steps": 3213,
|
| 56 |
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|
| 57 |
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"num_train_epochs": 3,
|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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"trial_params": null
|
| 63 |
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|
sp_ay_translator/checkpoint-3000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 4603
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sp_ay_translator/config.json
ADDED
|
@@ -0,0 +1,61 @@
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
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|
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|
| 10 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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"is_encoder_decoder": true,
|
| 17 |
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"is_gated_act": false,
|
| 18 |
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"layer_norm_epsilon": 1e-06,
|
| 19 |
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"model_type": "t5",
|
| 20 |
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"n_positions": 512,
|
| 21 |
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"num_decoder_layers": 6,
|
| 22 |
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"num_heads": 8,
|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 27 |
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"relative_attention_num_buckets": 32,
|
| 28 |
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"task_specific_params": {
|
| 29 |
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"summarization": {
|
| 30 |
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"early_stopping": true,
|
| 31 |
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"length_penalty": 2.0,
|
| 32 |
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"max_length": 200,
|
| 33 |
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"min_length": 30,
|
| 34 |
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"no_repeat_ngram_size": 3,
|
| 35 |
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"num_beams": 4,
|
| 36 |
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"prefix": "summarize: "
|
| 37 |
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},
|
| 38 |
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"translation_en_to_de": {
|
| 39 |
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"early_stopping": true,
|
| 40 |
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"max_length": 300,
|
| 41 |
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"num_beams": 4,
|
| 42 |
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"prefix": "translate English to German: "
|
| 43 |
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},
|
| 44 |
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"translation_en_to_fr": {
|
| 45 |
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"early_stopping": true,
|
| 46 |
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"max_length": 300,
|
| 47 |
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"num_beams": 4,
|
| 48 |
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"prefix": "translate English to French: "
|
| 49 |
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},
|
| 50 |
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"translation_en_to_ro": {
|
| 51 |
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"early_stopping": true,
|
| 52 |
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"max_length": 300,
|
| 53 |
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"num_beams": 4,
|
| 54 |
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"prefix": "translate English to Romanian: "
|
| 55 |
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}
|
| 56 |
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},
|
| 57 |
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"torch_dtype": "float32",
|
| 58 |
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"transformers_version": "4.39.1",
|
| 59 |
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"use_cache": true,
|
| 60 |
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"vocab_size": 32128
|
| 61 |
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}
|
sp_ay_translator/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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size 242041896
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sp_ay_translator/runs/Nov18_17-00-03_DESKTOP-NSD2R8G/events.out.tfevents.1731970808.DESKTOP-NSD2R8G.3180.0
ADDED
|
@@ -0,0 +1,3 @@
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size 7209
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sp_ay_translator/runs/Nov18_17-00-03_DESKTOP-NSD2R8G/events.out.tfevents.1731974944.DESKTOP-NSD2R8G.3180.1
ADDED
|
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size 552
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sp_ay_translator/special_tokens_map.json
ADDED
|
@@ -0,0 +1,125 @@
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{
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|
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|
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
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|
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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},
|
| 118 |
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|
| 119 |
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|
| 120 |
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| 121 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
sp_ay_translator/spiece.model
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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| 3 |
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size 791656
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sp_ay_translator/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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|
|
sp_ay_translator/tokenizer_config.json
ADDED
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@@ -0,0 +1,937 @@
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<pad>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "</s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "<unk>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"32000": {
|
| 28 |
+
"content": "<extra_id_99>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"32001": {
|
| 36 |
+
"content": "<extra_id_98>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"32002": {
|
| 44 |
+
"content": "<extra_id_97>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
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| 905 |
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"<extra_id_76>",
|
| 906 |
+
"<extra_id_77>",
|
| 907 |
+
"<extra_id_78>",
|
| 908 |
+
"<extra_id_79>",
|
| 909 |
+
"<extra_id_80>",
|
| 910 |
+
"<extra_id_81>",
|
| 911 |
+
"<extra_id_82>",
|
| 912 |
+
"<extra_id_83>",
|
| 913 |
+
"<extra_id_84>",
|
| 914 |
+
"<extra_id_85>",
|
| 915 |
+
"<extra_id_86>",
|
| 916 |
+
"<extra_id_87>",
|
| 917 |
+
"<extra_id_88>",
|
| 918 |
+
"<extra_id_89>",
|
| 919 |
+
"<extra_id_90>",
|
| 920 |
+
"<extra_id_91>",
|
| 921 |
+
"<extra_id_92>",
|
| 922 |
+
"<extra_id_93>",
|
| 923 |
+
"<extra_id_94>",
|
| 924 |
+
"<extra_id_95>",
|
| 925 |
+
"<extra_id_96>",
|
| 926 |
+
"<extra_id_97>",
|
| 927 |
+
"<extra_id_98>",
|
| 928 |
+
"<extra_id_99>"
|
| 929 |
+
],
|
| 930 |
+
"clean_up_tokenization_spaces": true,
|
| 931 |
+
"eos_token": "</s>",
|
| 932 |
+
"extra_ids": 100,
|
| 933 |
+
"model_max_length": 512,
|
| 934 |
+
"pad_token": "<pad>",
|
| 935 |
+
"tokenizer_class": "T5Tokenizer",
|
| 936 |
+
"unk_token": "<unk>"
|
| 937 |
+
}
|
sp_ay_translator/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9174edaa03b5b5d01bfbe8831d2c1c5ef2beb26a4ce8b27fb065611456e9253
|
| 3 |
+
size 4603
|
translator_bible_v1.ipynb
ADDED
|
@@ -0,0 +1,514 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "code",
|
| 5 |
+
"execution_count": 1,
|
| 6 |
+
"metadata": {},
|
| 7 |
+
"outputs": [
|
| 8 |
+
{
|
| 9 |
+
"name": "stdout",
|
| 10 |
+
"output_type": "stream",
|
| 11 |
+
"text": [
|
| 12 |
+
"WARNING:tensorflow:From c:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
|
| 13 |
+
"\n"
|
| 14 |
+
]
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"data": {
|
| 18 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 19 |
+
"model_id": "0a6aaf8a708b4826966e824a741b031c",
|
| 20 |
+
"version_major": 2,
|
| 21 |
+
"version_minor": 0
|
| 22 |
+
},
|
| 23 |
+
"text/plain": [
|
| 24 |
+
"VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
|
| 25 |
+
]
|
| 26 |
+
},
|
| 27 |
+
"metadata": {},
|
| 28 |
+
"output_type": "display_data"
|
| 29 |
+
}
|
| 30 |
+
],
|
| 31 |
+
"source": [
|
| 32 |
+
"# Cargando las librerias necesarias\n",
|
| 33 |
+
"import pandas as pd\n",
|
| 34 |
+
"import numpy as np\n",
|
| 35 |
+
"from datasets import load_dataset\n",
|
| 36 |
+
"from transformers import AutoTokenizer\n",
|
| 37 |
+
"from transformers import DataCollatorForSeq2Seq\n",
|
| 38 |
+
"import evaluate\n",
|
| 39 |
+
"from transformers import AutoModelForSeq2SeqLM, Seq2SeqTrainingArguments, Seq2SeqTrainer\n",
|
| 40 |
+
"import numpy as np\n",
|
| 41 |
+
"from datasets import load_metric\n",
|
| 42 |
+
"from huggingface_hub import notebook_login\n",
|
| 43 |
+
"from transformers import pipeline\n",
|
| 44 |
+
"from huggingface_hub import create_repo\n",
|
| 45 |
+
"\n",
|
| 46 |
+
"notebook_login()\n"
|
| 47 |
+
]
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"cell_type": "code",
|
| 51 |
+
"execution_count": 11,
|
| 52 |
+
"metadata": {},
|
| 53 |
+
"outputs": [
|
| 54 |
+
{
|
| 55 |
+
"data": {
|
| 56 |
+
"text/plain": [
|
| 57 |
+
"RepoUrl('https://huggingface.co/l52mas/spanish_to_ayuuk_translator', endpoint='https://huggingface.co', repo_type='model', repo_id='l52mas/spanish_to_ayuuk_translator')"
|
| 58 |
+
]
|
| 59 |
+
},
|
| 60 |
+
"execution_count": 11,
|
| 61 |
+
"metadata": {},
|
| 62 |
+
"output_type": "execute_result"
|
| 63 |
+
}
|
| 64 |
+
],
|
| 65 |
+
"source": [
|
| 66 |
+
"repo_id = \"spanish_to_ayuuk_translator\" \n",
|
| 67 |
+
"organization = \"l52mas\" \n",
|
| 68 |
+
"\n",
|
| 69 |
+
"create_repo(\n",
|
| 70 |
+
" repo_id=f\"{organization}/{repo_id}\", \n",
|
| 71 |
+
" repo_type=\"model\", \n",
|
| 72 |
+
" exist_ok=True \n",
|
| 73 |
+
")"
|
| 74 |
+
]
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"cell_type": "code",
|
| 78 |
+
"execution_count": 2,
|
| 79 |
+
"metadata": {},
|
| 80 |
+
"outputs": [],
|
| 81 |
+
"source": [
|
| 82 |
+
"# Leemos los corpus de la biblia y de Delfino\n",
|
| 83 |
+
"bible_data = pd.read_csv('full_corpus_bible.csv')\n",
|
| 84 |
+
"bible_index = pd.read_csv('full_corpus_index.csv')\n",
|
| 85 |
+
"\n",
|
| 86 |
+
"# Unimos ambos corpus y reseteamos los indices\n",
|
| 87 |
+
"bible_data = pd.concat([bible_data, bible_index], axis=0)\n",
|
| 88 |
+
"bible_data['id'] = range(0, len(bible_data))\n",
|
| 89 |
+
"\n",
|
| 90 |
+
"# Guardamos el corpus final\n",
|
| 91 |
+
"bible_data.to_csv('bible_and_corpus1.csv', index=False)"
|
| 92 |
+
]
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"cell_type": "code",
|
| 96 |
+
"execution_count": 3,
|
| 97 |
+
"metadata": {},
|
| 98 |
+
"outputs": [
|
| 99 |
+
{
|
| 100 |
+
"data": {
|
| 101 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 102 |
+
"model_id": "f47c85872a8b4f2fbab6c063a8958d8e",
|
| 103 |
+
"version_major": 2,
|
| 104 |
+
"version_minor": 0
|
| 105 |
+
},
|
| 106 |
+
"text/plain": [
|
| 107 |
+
"Generating train split: 0 examples [00:00, ? examples/s]"
|
| 108 |
+
]
|
| 109 |
+
},
|
| 110 |
+
"metadata": {},
|
| 111 |
+
"output_type": "display_data"
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"data": {
|
| 115 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 116 |
+
"model_id": "a58d49dd479e4a2b8b23c208c55584e4",
|
| 117 |
+
"version_major": 2,
|
| 118 |
+
"version_minor": 0
|
| 119 |
+
},
|
| 120 |
+
"text/plain": [
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"data": {
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"text/plain": [
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"DatasetDict({\n",
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| 131 |
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" train: Dataset({\n",
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| 132 |
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" features: ['id', 'translation'],\n",
|
| 133 |
+
" num_rows: 8564\n",
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| 134 |
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" })\n",
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| 135 |
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" test: Dataset({\n",
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| 136 |
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" features: ['id', 'translation'],\n",
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" num_rows: 1512\n",
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" })\n",
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"})"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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| 145 |
+
}
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+
],
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| 147 |
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"source": [
|
| 148 |
+
"# Transformamos el corpus en un dataset de HuggingFace\n",
|
| 149 |
+
"dataset = load_dataset('csv', data_files='bible_and_corpus1.csv', column_names=['spanish', 'ayuuk', 'id'])\n",
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"\n",
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| 151 |
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"# Lo transformamos al formato necesario para el entrenamiento\n",
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| 152 |
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"dataset = dataset.map(lambda x: {'translation': {'es': x['spanish'], 'ayuuk': x['ayuuk']}, 'id': x['id']})\n",
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| 153 |
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"dataset = dataset.remove_columns(['spanish', 'ayuuk'])\n",
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"\n",
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| 155 |
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"# Dividimos el dataset en entrenamiento y validación\n",
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| 156 |
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"dataset = dataset['train'].train_test_split(test_size=0.15)\n",
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+
"dataset"
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]
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"cell_type": "code",
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"execution_count": 4,
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| 163 |
+
"metadata": {},
|
| 164 |
+
"outputs": [],
|
| 165 |
+
"source": [
|
| 166 |
+
"# Cargamos el modelo preentrenado\n",
|
| 167 |
+
"checkpoint = \"google-t5/t5-small\"\n",
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| 168 |
+
"tokenizer = AutoTokenizer.from_pretrained(checkpoint)"
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+
]
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+
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "08455684484e4a8eadf18e2d56e67c6e",
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"version_major": 2,
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"version_minor": 0
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"output_type": "display_data"
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "5550a7facd3e48f5ac57beda677560f7",
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"version_major": 2,
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"version_minor": 0
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},
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},
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"metadata": {},
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"output_type": "display_data"
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+
}
|
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+
],
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"source": [
|
| 206 |
+
"source_lang = \"es\"\n",
|
| 207 |
+
"target_lang = \"ayuuk\"\n",
|
| 208 |
+
"prefix = \"translate Spanish to Ayuuk: \"\n",
|
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+
"\n",
|
| 210 |
+
"# Tranformamos los inputs al formato:\n",
|
| 211 |
+
"# translate Spanish to Ayuuk: texto en español\n",
|
| 212 |
+
"def preprocess_function(examples):\n",
|
| 213 |
+
" inputs = [prefix + example[source_lang] for example in examples[\"translation\"]]\n",
|
| 214 |
+
" targets = [example[target_lang] for example in examples[\"translation\"]]\n",
|
| 215 |
+
" model_inputs = tokenizer(inputs, text_target=targets, max_length=128, truncation=True)\n",
|
| 216 |
+
" return model_inputs\n",
|
| 217 |
+
"\n",
|
| 218 |
+
"#tokenized_corpus = dataset.map(preprocess_function, batched=True)\n",
|
| 219 |
+
"tokenized_corpus = dataset.map(preprocess_function, batched=True)"
|
| 220 |
+
]
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+
},
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{
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"cell_type": "code",
|
| 224 |
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"execution_count": 6,
|
| 225 |
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"metadata": {},
|
| 226 |
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"outputs": [
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| 227 |
+
{
|
| 228 |
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"name": "stderr",
|
| 229 |
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"output_type": "stream",
|
| 230 |
+
"text": [
|
| 231 |
+
"C:\\Users\\olver\\AppData\\Local\\Temp\\ipykernel_3180\\3890291550.py:3: FutureWarning: load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library 🤗 Evaluate: https://huggingface.co/docs/evaluate\n",
|
| 232 |
+
" cer_metric = load_metric(\"cer\")\n",
|
| 233 |
+
"c:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\datasets\\load.py:756: FutureWarning: The repository for cer contains custom code which must be executed to correctly load the metric. You can inspect the repository content at https://raw.githubusercontent.com/huggingface/datasets/2.18.0/metrics/cer/cer.py\n",
|
| 234 |
+
"You can avoid this message in future by passing the argument `trust_remote_code=True`.\n",
|
| 235 |
+
"Passing `trust_remote_code=True` will be mandatory to load this metric from the next major release of `datasets`.\n",
|
| 236 |
+
" warnings.warn(\n",
|
| 237 |
+
"c:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\datasets\\load.py:756: FutureWarning: The repository for wer contains custom code which must be executed to correctly load the metric. You can inspect the repository content at https://raw.githubusercontent.com/huggingface/datasets/2.18.0/metrics/wer/wer.py\n",
|
| 238 |
+
"You can avoid this message in future by passing the argument `trust_remote_code=True`.\n",
|
| 239 |
+
"Passing `trust_remote_code=True` will be mandatory to load this metric from the next major release of `datasets`.\n",
|
| 240 |
+
" warnings.warn(\n"
|
| 241 |
+
]
|
| 242 |
+
}
|
| 243 |
+
],
|
| 244 |
+
"source": [
|
| 245 |
+
"data_collator = DataCollatorForSeq2Seq(tokenizer=tokenizer, model=checkpoint)\n",
|
| 246 |
+
"metric = evaluate.load(\"sacrebleu\")\n",
|
| 247 |
+
"cer_metric = load_metric(\"cer\")\n",
|
| 248 |
+
"wer_metric = load_metric(\"wer\")\n",
|
| 249 |
+
"\n",
|
| 250 |
+
"\n",
|
| 251 |
+
"# Función para evaluar el modelo\n",
|
| 252 |
+
"def postprocess_text(preds, labels):\n",
|
| 253 |
+
" preds = [pred.strip() for pred in preds]\n",
|
| 254 |
+
" labels = [[label.strip()] for label in labels]\n",
|
| 255 |
+
"\n",
|
| 256 |
+
" return preds, labels\n",
|
| 257 |
+
"\n",
|
| 258 |
+
"# Función que calcula bleu, cer y wer\n",
|
| 259 |
+
"def compute_metrics(eval_preds):\n",
|
| 260 |
+
" preds, labels = eval_preds\n",
|
| 261 |
+
" if isinstance(preds, tuple):\n",
|
| 262 |
+
" preds = preds[0]\n",
|
| 263 |
+
" decoded_preds = tokenizer.batch_decode(preds, skip_special_tokens=True)\n",
|
| 264 |
+
"\n",
|
| 265 |
+
" labels = np.where(labels != -100, labels, tokenizer.pad_token_id)\n",
|
| 266 |
+
" decoded_labels = tokenizer.batch_decode(labels, skip_special_tokens=True)\n",
|
| 267 |
+
"\n",
|
| 268 |
+
" decoded_preds, decoded_labels = postprocess_text(decoded_preds, decoded_labels)\n",
|
| 269 |
+
"\n",
|
| 270 |
+
" result = metric.compute(predictions=decoded_preds, references=decoded_labels)\n",
|
| 271 |
+
" cer = cer_metric.compute(predictions=decoded_preds, references=decoded_labels)\n",
|
| 272 |
+
" result[\"cer\"] = cer\n",
|
| 273 |
+
" \n",
|
| 274 |
+
" wer = wer_metric.compute(predictions=decoded_preds, references=decoded_labels)\n",
|
| 275 |
+
" result[\"wer\"] = wer\n",
|
| 276 |
+
" \n",
|
| 277 |
+
" result = {\"bleu\": result[\"score\"], \"cer\": result[\"cer\"], \"wer\": result[\"wer\"]}\n",
|
| 278 |
+
"\n",
|
| 279 |
+
" prediction_lens = [np.count_nonzero(pred != tokenizer.pad_token_id) for pred in preds]\n",
|
| 280 |
+
" result[\"gen_len\"] = np.mean(prediction_lens)\n",
|
| 281 |
+
" result = {k: round(v, 4) for k, v in result.items()}\n",
|
| 282 |
+
" return result"
|
| 283 |
+
]
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"cell_type": "code",
|
| 287 |
+
"execution_count": 7,
|
| 288 |
+
"metadata": {},
|
| 289 |
+
"outputs": [],
|
| 290 |
+
"source": [
|
| 291 |
+
"#cargamos el modelo preentrenado\n",
|
| 292 |
+
"model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)"
|
| 293 |
+
]
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"cell_type": "code",
|
| 297 |
+
"execution_count": 8,
|
| 298 |
+
"metadata": {},
|
| 299 |
+
"outputs": [
|
| 300 |
+
{
|
| 301 |
+
"name": "stderr",
|
| 302 |
+
"output_type": "stream",
|
| 303 |
+
"text": [
|
| 304 |
+
"c:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\accelerate\\accelerator.py:432: FutureWarning: Passing the following arguments to `Accelerator` is deprecated and will be removed in version 1.0 of Accelerate: dict_keys(['dispatch_batches', 'split_batches', 'even_batches', 'use_seedable_sampler']). Please pass an `accelerate.DataLoaderConfiguration` instead: \n",
|
| 305 |
+
"dataloader_config = DataLoaderConfiguration(dispatch_batches=None, split_batches=False, even_batches=True, use_seedable_sampler=True)\n",
|
| 306 |
+
" warnings.warn(\n"
|
| 307 |
+
]
|
| 308 |
+
}
|
| 309 |
+
],
|
| 310 |
+
"source": [
|
| 311 |
+
"# Definimos los argumentos de entrenamiento\n",
|
| 312 |
+
"training_args = Seq2SeqTrainingArguments(\n",
|
| 313 |
+
" output_dir=\"sp_ay_translator\",\n",
|
| 314 |
+
" #eval_strategy=\"epoch\",\n",
|
| 315 |
+
" learning_rate=2e-3,\n",
|
| 316 |
+
" per_device_train_batch_size=8,\n",
|
| 317 |
+
" per_device_eval_batch_size=8,\n",
|
| 318 |
+
" weight_decay=0.0001,\n",
|
| 319 |
+
" save_total_limit=3,\n",
|
| 320 |
+
" num_train_epochs=3,\n",
|
| 321 |
+
" predict_with_generate=True,\n",
|
| 322 |
+
" fp16=True,\n",
|
| 323 |
+
" push_to_hub=True,\n",
|
| 324 |
+
")\n",
|
| 325 |
+
"\n",
|
| 326 |
+
"trainer = Seq2SeqTrainer(\n",
|
| 327 |
+
" model=model,\n",
|
| 328 |
+
" args=training_args,\n",
|
| 329 |
+
" train_dataset=tokenized_corpus[\"train\"],\n",
|
| 330 |
+
" eval_dataset=tokenized_corpus[\"test\"],\n",
|
| 331 |
+
" tokenizer=tokenizer,\n",
|
| 332 |
+
" data_collator=data_collator,\n",
|
| 333 |
+
" compute_metrics=compute_metrics,\n",
|
| 334 |
+
")\n"
|
| 335 |
+
]
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"cell_type": "code",
|
| 339 |
+
"execution_count": 9,
|
| 340 |
+
"metadata": {},
|
| 341 |
+
"outputs": [
|
| 342 |
+
{
|
| 343 |
+
"data": {
|
| 344 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 345 |
+
"model_id": "4e451c4336624bb8bf759873839f8f0c",
|
| 346 |
+
"version_major": 2,
|
| 347 |
+
"version_minor": 0
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+
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|
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|
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|
| 354 |
+
"output_type": "display_data"
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"name": "stdout",
|
| 358 |
+
"output_type": "stream",
|
| 359 |
+
"text": [
|
| 360 |
+
"{'loss': 2.0331, 'grad_norm': 0.5498889088630676, 'learning_rate': 0.001689386865857454, 'epoch': 0.47}\n",
|
| 361 |
+
"{'loss': 1.6035, 'grad_norm': 0.6067703366279602, 'learning_rate': 0.0013781512605042017, 'epoch': 0.93}\n",
|
| 362 |
+
"{'loss': 1.4596, 'grad_norm': 0.6522427201271057, 'learning_rate': 0.0010669156551509494, 'epoch': 1.4}\n",
|
| 363 |
+
"{'loss': 1.3852, 'grad_norm': 0.48198166489601135, 'learning_rate': 0.0007556800497976969, 'epoch': 1.87}\n",
|
| 364 |
+
"{'loss': 1.3012, 'grad_norm': 0.7035029530525208, 'learning_rate': 0.0004444444444444444, 'epoch': 2.33}\n",
|
| 365 |
+
"{'loss': 1.2695, 'grad_norm': 0.6964818239212036, 'learning_rate': 0.000133208839091192, 'epoch': 2.8}\n",
|
| 366 |
+
"{'train_runtime': 4000.2069, 'train_samples_per_second': 6.423, 'train_steps_per_second': 0.803, 'train_loss': 1.4916166987628385, 'epoch': 3.0}\n"
|
| 367 |
+
]
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"name": "stderr",
|
| 371 |
+
"output_type": "stream",
|
| 372 |
+
"text": [
|
| 373 |
+
"c:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\transformers\\generation\\utils.py:1132: UserWarning: Using the model-agnostic default `max_length` (=20) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\n",
|
| 374 |
+
" warnings.warn(\n"
|
| 375 |
+
]
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"data": {
|
| 379 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 380 |
+
"model_id": "8fbd7cc60ecf45a2837a0bc780f3aee2",
|
| 381 |
+
"version_major": 2,
|
| 382 |
+
"version_minor": 0
|
| 383 |
+
},
|
| 384 |
+
"text/plain": [
|
| 385 |
+
" 0%| | 0/189 [00:00<?, ?it/s]"
|
| 386 |
+
]
|
| 387 |
+
},
|
| 388 |
+
"metadata": {},
|
| 389 |
+
"output_type": "display_data"
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"data": {
|
| 393 |
+
"text/plain": [
|
| 394 |
+
"{'eval_loss': 1.221753478050232,\n",
|
| 395 |
+
" 'eval_bleu': 0.1583,\n",
|
| 396 |
+
" 'eval_cer': 0.8668,\n",
|
| 397 |
+
" 'eval_wer': 0.9532,\n",
|
| 398 |
+
" 'eval_gen_len': 18.4861,\n",
|
| 399 |
+
" 'eval_runtime': 135.2724,\n",
|
| 400 |
+
" 'eval_samples_per_second': 11.177,\n",
|
| 401 |
+
" 'eval_steps_per_second': 1.397,\n",
|
| 402 |
+
" 'epoch': 3.0}"
|
| 403 |
+
]
|
| 404 |
+
},
|
| 405 |
+
"execution_count": 9,
|
| 406 |
+
"metadata": {},
|
| 407 |
+
"output_type": "execute_result"
|
| 408 |
+
}
|
| 409 |
+
],
|
| 410 |
+
"source": [
|
| 411 |
+
"# Entrenamos y evaluamos el modelo\n",
|
| 412 |
+
"trainer.train()\n",
|
| 413 |
+
"trainer.evaluate()"
|
| 414 |
+
]
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"cell_type": "code",
|
| 418 |
+
"execution_count": 10,
|
| 419 |
+
"metadata": {},
|
| 420 |
+
"outputs": [
|
| 421 |
+
{
|
| 422 |
+
"data": {
|
| 423 |
+
"text/plain": [
|
| 424 |
+
"[{'translation_text': 'ch, nm ja nm nm n'}]"
|
| 425 |
+
]
|
| 426 |
+
},
|
| 427 |
+
"execution_count": 10,
|
| 428 |
+
"metadata": {},
|
| 429 |
+
"output_type": "execute_result"
|
| 430 |
+
}
|
| 431 |
+
],
|
| 432 |
+
"source": [
|
| 433 |
+
"# Ejemplo de traducción\n",
|
| 434 |
+
"text = 'translate Spanish to Ayuuk: Hola, soy Alberto'\n",
|
| 435 |
+
"translator = pipeline(\"translation_xx_to_yy\", model=\"sp_ay_translator\")\n",
|
| 436 |
+
"translator(text)"
|
| 437 |
+
]
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"cell_type": "code",
|
| 441 |
+
"execution_count": 15,
|
| 442 |
+
"metadata": {},
|
| 443 |
+
"outputs": [
|
| 444 |
+
{
|
| 445 |
+
"ename": "HfHubHTTPError",
|
| 446 |
+
"evalue": "403 Client Error: Forbidden for url: https://huggingface.co/l52mas/spanish_to_ayuuk_translator.git/info/lfs/objects/batch (Request ID: Root=1-673bd7f7-49fcc06606e2e5027608f8dc;05b34658-d5f9-4195-a245-09d560630b3d)\n\nAuthorization error.",
|
| 447 |
+
"output_type": "error",
|
| 448 |
+
"traceback": [
|
| 449 |
+
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
| 450 |
+
"\u001b[1;31mHTTPError\u001b[0m Traceback (most recent call last)",
|
| 451 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\utils\\_errors.py:304\u001b[0m, in \u001b[0;36mhf_raise_for_status\u001b[1;34m(response, endpoint_name)\u001b[0m\n\u001b[0;32m 303\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 304\u001b[0m \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_for_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 305\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m HTTPError \u001b[38;5;28;01mas\u001b[39;00m e:\n",
|
| 452 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\requests\\models.py:1021\u001b[0m, in \u001b[0;36mResponse.raise_for_status\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1020\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m http_error_msg:\n\u001b[1;32m-> 1021\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HTTPError(http_error_msg, response\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m)\n",
|
| 453 |
+
"\u001b[1;31mHTTPError\u001b[0m: 403 Client Error: Forbidden for url: https://huggingface.co/l52mas/spanish_to_ayuuk_translator.git/info/lfs/objects/batch",
|
| 454 |
+
"\nThe above exception was the direct cause of the following exception:\n",
|
| 455 |
+
"\u001b[1;31mHfHubHTTPError\u001b[0m Traceback (most recent call last)",
|
| 456 |
+
"Cell \u001b[1;32mIn[15], line 5\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mhuggingface_hub\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m upload_folder\n\u001b[0;32m 3\u001b[0m folder_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m----> 5\u001b[0m \u001b[43mupload_folder\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mfolder_path\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfolder_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43morganization\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m/\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43mrepo_id\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mcommit_message\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mSubiendo modelo de traducción de español a ayuuk\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[0;32m 9\u001b[0m \u001b[43m)\u001b[49m\n",
|
| 457 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\utils\\_validators.py:118\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 115\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[0;32m 116\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[1;32m--> 118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
| 458 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\hf_api.py:1227\u001b[0m, in \u001b[0;36mfuture_compatible.<locals>._inner\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1224\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrun_as_future(fn, \u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 1226\u001b[0m \u001b[38;5;66;03m# Otherwise, call the function normally\u001b[39;00m\n\u001b[1;32m-> 1227\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
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| 459 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\hf_api.py:4802\u001b[0m, in \u001b[0;36mHfApi.upload_folder\u001b[1;34m(self, repo_id, folder_path, path_in_repo, commit_message, commit_description, token, repo_type, revision, create_pr, parent_commit, allow_patterns, ignore_patterns, delete_patterns, multi_commits, multi_commits_verbose, run_as_future)\u001b[0m\n\u001b[0;32m 4798\u001b[0m \u001b[38;5;66;03m# Defining a CommitInfo object is not really relevant in this case\u001b[39;00m\n\u001b[0;32m 4799\u001b[0m \u001b[38;5;66;03m# Let's return early with pr_url only (as string).\u001b[39;00m\n\u001b[0;32m 4800\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pr_url\n\u001b[1;32m-> 4802\u001b[0m commit_info \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_commit\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 4803\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4804\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4805\u001b[0m \u001b[43m \u001b[49m\u001b[43moperations\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcommit_operations\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4806\u001b[0m \u001b[43m \u001b[49m\u001b[43mcommit_message\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcommit_message\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4807\u001b[0m \u001b[43m \u001b[49m\u001b[43mcommit_description\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcommit_description\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4808\u001b[0m \u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4809\u001b[0m \u001b[43m \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrevision\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4810\u001b[0m \u001b[43m \u001b[49m\u001b[43mcreate_pr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcreate_pr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4811\u001b[0m \u001b[43m \u001b[49m\u001b[43mparent_commit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparent_commit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4812\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 4814\u001b[0m \u001b[38;5;66;03m# Create url to uploaded folder (for legacy return value)\u001b[39;00m\n\u001b[0;32m 4815\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m create_pr \u001b[38;5;129;01mand\u001b[39;00m commit_info\u001b[38;5;241m.\u001b[39mpr_url \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
|
| 460 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\utils\\_validators.py:118\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 115\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[0;32m 116\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[1;32m--> 118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
| 461 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\hf_api.py:1227\u001b[0m, in \u001b[0;36mfuture_compatible.<locals>._inner\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1224\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrun_as_future(fn, \u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 1226\u001b[0m \u001b[38;5;66;03m# Otherwise, call the function normally\u001b[39;00m\n\u001b[1;32m-> 1227\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
| 462 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\hf_api.py:3762\u001b[0m, in \u001b[0;36mHfApi.create_commit\u001b[1;34m(self, repo_id, operations, commit_message, commit_description, token, repo_type, revision, create_pr, num_threads, parent_commit, run_as_future)\u001b[0m\n\u001b[0;32m 3759\u001b[0m \u001b[38;5;66;03m# If updating twice the same file or update then delete a file in a single commit\u001b[39;00m\n\u001b[0;32m 3760\u001b[0m _warn_on_overwriting_operations(operations)\n\u001b[1;32m-> 3762\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpreupload_lfs_files\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 3763\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 3764\u001b[0m \u001b[43m \u001b[49m\u001b[43madditions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43madditions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 3765\u001b[0m \u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 3766\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 3767\u001b[0m \u001b[43m \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43munquoted_revision\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# first-class methods take unquoted revision\u001b[39;49;00m\n\u001b[0;32m 3768\u001b[0m \u001b[43m \u001b[49m\u001b[43mcreate_pr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcreate_pr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 3769\u001b[0m \u001b[43m \u001b[49m\u001b[43mnum_threads\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_threads\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 3770\u001b[0m \u001b[43m \u001b[49m\u001b[43mfree_memory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# do not remove `CommitOperationAdd.path_or_fileobj` on LFS files for \"normal\" users\u001b[39;49;00m\n\u001b[0;32m 3771\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3772\u001b[0m files_to_copy \u001b[38;5;241m=\u001b[39m _fetch_files_to_copy(\n\u001b[0;32m 3773\u001b[0m copies\u001b[38;5;241m=\u001b[39mcopies,\n\u001b[0;32m 3774\u001b[0m repo_type\u001b[38;5;241m=\u001b[39mrepo_type,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 3778\u001b[0m endpoint\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mendpoint,\n\u001b[0;32m 3779\u001b[0m )\n\u001b[0;32m 3780\u001b[0m commit_payload \u001b[38;5;241m=\u001b[39m _prepare_commit_payload(\n\u001b[0;32m 3781\u001b[0m operations\u001b[38;5;241m=\u001b[39moperations,\n\u001b[0;32m 3782\u001b[0m files_to_copy\u001b[38;5;241m=\u001b[39mfiles_to_copy,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 3785\u001b[0m parent_commit\u001b[38;5;241m=\u001b[39mparent_commit,\n\u001b[0;32m 3786\u001b[0m )\n",
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| 463 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\hf_api.py:4262\u001b[0m, in \u001b[0;36mHfApi.preupload_lfs_files\u001b[1;34m(self, repo_id, additions, token, repo_type, revision, create_pr, num_threads, free_memory, gitignore_content)\u001b[0m\n\u001b[0;32m 4256\u001b[0m logger\u001b[38;5;241m.\u001b[39minfo(\n\u001b[0;32m 4257\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSkipped upload for \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(new_lfs_additions)\u001b[38;5;250m \u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;250m \u001b[39m\u001b[38;5;28mlen\u001b[39m(new_lfs_additions_to_upload)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m LFS file(s) \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 4258\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(ignored by gitignore file).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 4259\u001b[0m )\n\u001b[0;32m 4261\u001b[0m \u001b[38;5;66;03m# Upload new LFS files\u001b[39;00m\n\u001b[1;32m-> 4262\u001b[0m \u001b[43m_upload_lfs_files\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 4263\u001b[0m \u001b[43m \u001b[49m\u001b[43madditions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_lfs_additions_to_upload\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4264\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4265\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4266\u001b[0m \u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4267\u001b[0m \u001b[43m \u001b[49m\u001b[43mendpoint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mendpoint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4268\u001b[0m \u001b[43m \u001b[49m\u001b[43mnum_threads\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_threads\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4269\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# If `create_pr`, we don't want to check user permission on the revision as users with read permission\u001b[39;49;00m\n\u001b[0;32m 4270\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# should still be able to create PRs even if they don't have write permission on the target branch of the\u001b[39;49;00m\n\u001b[0;32m 4271\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# PR (i.e. `revision`).\u001b[39;49;00m\n\u001b[0;32m 4272\u001b[0m \u001b[43m \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrevision\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mcreate_pr\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 4273\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 4274\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m addition \u001b[38;5;129;01min\u001b[39;00m new_lfs_additions_to_upload:\n\u001b[0;32m 4275\u001b[0m addition\u001b[38;5;241m.\u001b[39m_is_uploaded \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
|
| 464 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\utils\\_validators.py:118\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 115\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[0;32m 116\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[1;32m--> 118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
| 465 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\_commit_api.py:360\u001b[0m, in \u001b[0;36m_upload_lfs_files\u001b[1;34m(additions, repo_type, repo_id, token, endpoint, num_threads, revision)\u001b[0m\n\u001b[0;32m 358\u001b[0m batch_actions: List[Dict] \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m 359\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m chunk \u001b[38;5;129;01min\u001b[39;00m chunk_iterable(additions, chunk_size\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m256\u001b[39m):\n\u001b[1;32m--> 360\u001b[0m batch_actions_chunk, batch_errors_chunk \u001b[38;5;241m=\u001b[39m \u001b[43mpost_lfs_batch_info\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 361\u001b[0m \u001b[43m \u001b[49m\u001b[43mupload_infos\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43mop\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupload_info\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 362\u001b[0m \u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 363\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 364\u001b[0m \u001b[43m \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepo_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 365\u001b[0m \u001b[43m \u001b[49m\u001b[43mrevision\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrevision\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 366\u001b[0m \u001b[43m \u001b[49m\u001b[43mendpoint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mendpoint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 367\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 369\u001b[0m \u001b[38;5;66;03m# If at least 1 error, we do not retrieve information for other chunks\u001b[39;00m\n\u001b[0;32m 370\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m batch_errors_chunk:\n",
|
| 466 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\utils\\_validators.py:118\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 115\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[0;32m 116\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[38;5;241m=\u001b[39mfn\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, has_token\u001b[38;5;241m=\u001b[39mhas_token, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n\u001b[1;32m--> 118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
| 467 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\lfs.py:159\u001b[0m, in \u001b[0;36mpost_lfs_batch_info\u001b[1;34m(upload_infos, token, repo_type, repo_id, revision, endpoint)\u001b[0m\n\u001b[0;32m 157\u001b[0m headers \u001b[38;5;241m=\u001b[39m {\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mLFS_HEADERS, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mbuild_hf_headers(token\u001b[38;5;241m=\u001b[39mtoken \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m)} \u001b[38;5;66;03m# Token must be provided or retrieved\u001b[39;00m\n\u001b[0;32m 158\u001b[0m resp \u001b[38;5;241m=\u001b[39m get_session()\u001b[38;5;241m.\u001b[39mpost(batch_url, headers\u001b[38;5;241m=\u001b[39mheaders, json\u001b[38;5;241m=\u001b[39mpayload)\n\u001b[1;32m--> 159\u001b[0m \u001b[43mhf_raise_for_status\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresp\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 160\u001b[0m batch_info \u001b[38;5;241m=\u001b[39m resp\u001b[38;5;241m.\u001b[39mjson()\n\u001b[0;32m 162\u001b[0m objects \u001b[38;5;241m=\u001b[39m batch_info\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mobjects\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n",
|
| 468 |
+
"File \u001b[1;32mc:\\Users\\olver\\anaconda3\\envs\\NS_env\\Lib\\site-packages\\huggingface_hub\\utils\\_errors.py:362\u001b[0m, in \u001b[0;36mhf_raise_for_status\u001b[1;34m(response, endpoint_name)\u001b[0m\n\u001b[0;32m 358\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m BadRequestError(message, response\u001b[38;5;241m=\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[0;32m 360\u001b[0m \u001b[38;5;66;03m# Convert `HTTPError` into a `HfHubHTTPError` to display request information\u001b[39;00m\n\u001b[0;32m 361\u001b[0m \u001b[38;5;66;03m# as well (request id and/or server error message)\u001b[39;00m\n\u001b[1;32m--> 362\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HfHubHTTPError(\u001b[38;5;28mstr\u001b[39m(e), response\u001b[38;5;241m=\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n",
|
| 469 |
+
"\u001b[1;31mHfHubHTTPError\u001b[0m: 403 Client Error: Forbidden for url: https://huggingface.co/l52mas/spanish_to_ayuuk_translator.git/info/lfs/objects/batch (Request ID: Root=1-673bd7f7-49fcc06606e2e5027608f8dc;05b34658-d5f9-4195-a245-09d560630b3d)\n\nAuthorization error."
|
| 470 |
+
]
|
| 471 |
+
}
|
| 472 |
+
],
|
| 473 |
+
"source": [
|
| 474 |
+
"from huggingface_hub import upload_folder\n",
|
| 475 |
+
"\n",
|
| 476 |
+
"folder_path = \".\"\n",
|
| 477 |
+
"\n",
|
| 478 |
+
"upload_folder(\n",
|
| 479 |
+
" folder_path=folder_path,\n",
|
| 480 |
+
" repo_id=f\"{organization}/{repo_id}\",\n",
|
| 481 |
+
" commit_message=\"Subiendo modelo de traducción de español a ayuuk\"\n",
|
| 482 |
+
")\n"
|
| 483 |
+
]
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"cell_type": "code",
|
| 487 |
+
"execution_count": null,
|
| 488 |
+
"metadata": {},
|
| 489 |
+
"outputs": [],
|
| 490 |
+
"source": []
|
| 491 |
+
}
|
| 492 |
+
],
|
| 493 |
+
"metadata": {
|
| 494 |
+
"kernelspec": {
|
| 495 |
+
"display_name": "NS_env",
|
| 496 |
+
"language": "python",
|
| 497 |
+
"name": "python3"
|
| 498 |
+
},
|
| 499 |
+
"language_info": {
|
| 500 |
+
"codemirror_mode": {
|
| 501 |
+
"name": "ipython",
|
| 502 |
+
"version": 3
|
| 503 |
+
},
|
| 504 |
+
"file_extension": ".py",
|
| 505 |
+
"mimetype": "text/x-python",
|
| 506 |
+
"name": "python",
|
| 507 |
+
"nbconvert_exporter": "python",
|
| 508 |
+
"pygments_lexer": "ipython3",
|
| 509 |
+
"version": "3.11.5"
|
| 510 |
+
}
|
| 511 |
+
},
|
| 512 |
+
"nbformat": 4,
|
| 513 |
+
"nbformat_minor": 2
|
| 514 |
+
}
|