initial commit
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- .gitattributes +15 -0
- README.md +79 -0
- checkpoint-3750/config.json +60 -0
- checkpoint-3750/generation_config.json +6 -0
- checkpoint-3750/optimizer.pt +3 -0
- checkpoint-3750/pytorch_model.bin +3 -0
- checkpoint-3750/rng_state.pth +3 -0
- checkpoint-3750/scheduler.pt +3 -0
- checkpoint-3750/special_tokens_map.json +107 -0
- checkpoint-3750/spiece.model +3 -0
- checkpoint-3750/tokenizer.json +0 -0
- checkpoint-3750/tokenizer_config.json +111 -0
- checkpoint-3750/trainer_state.json +178 -0
- checkpoint-3750/training_args.bin +3 -0
- checkpoint-4500/config.json +60 -0
- checkpoint-4500/generation_config.json +6 -0
- checkpoint-4500/optimizer.pt +3 -0
- checkpoint-4500/pytorch_model.bin +3 -0
- checkpoint-4500/rng_state.pth +3 -0
- checkpoint-4500/scheduler.pt +3 -0
- checkpoint-4500/special_tokens_map.json +107 -0
- checkpoint-4500/spiece.model +3 -0
- checkpoint-4500/tokenizer.json +0 -0
- checkpoint-4500/tokenizer_config.json +111 -0
- checkpoint-4500/trainer_state.json +214 -0
- checkpoint-4500/training_args.bin +3 -0
- checkpoint-4875/config.json +60 -0
- checkpoint-4875/generation_config.json +6 -0
- checkpoint-4875/optimizer.pt +3 -0
- checkpoint-4875/rng_state.pth +3 -0
- checkpoint-4875/scheduler.pt +3 -0
- checkpoint-4875/special_tokens_map.json +107 -0
- checkpoint-4875/spiece.model +3 -0
- checkpoint-4875/tokenizer.json +0 -0
- checkpoint-4875/tokenizer_config.json +111 -0
- checkpoint-4875/trainer_state.json +226 -0
- checkpoint-4875/training_args.bin +3 -0
- checkpoint-5250/config.json +60 -0
- checkpoint-5250/generation_config.json +6 -0
- checkpoint-5250/optimizer.pt +3 -0
- checkpoint-5250/rng_state.pth +3 -0
- checkpoint-5250/scheduler.pt +3 -0
- checkpoint-5250/special_tokens_map.json +107 -0
- checkpoint-5250/spiece.model +3 -0
- checkpoint-5250/tokenizer.json +0 -0
- checkpoint-5250/tokenizer_config.json +111 -0
- checkpoint-5250/trainer_state.json +244 -0
- checkpoint-5250/training_args.bin +3 -0
- checkpoint-5625/config.json +60 -0
- checkpoint-5625/generation_config.json +6 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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checkpoint-5625/training_args.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-3750/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-3750/training_args.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-4500/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-4500/training_args.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-4875/training_args.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-5250/training_args.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-5625/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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checkpoint-3750/spiece.model filter=lfs diff=lfs merge=lfs -text
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spiece.model filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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- rouge
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model-index:
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- name: t5-small-codesearchnet-multilang-python-java-javascript-go
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# t5-small-codesearchnet-multilang-python-java-javascript-go
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5955
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- Bleu: 0.009
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- Rouge1: 0.2321
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- Rouge2: 0.0831
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- Avg Length: 16.6192
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 10
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- total_train_batch_size: 80
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Avg Length |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:----------:|
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| No log | 1.0 | 375 | 0.7349 | 0.0028 | 0.1562 | 0.0364 | 16.436 |
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| 2.3117 | 2.0 | 750 | 0.6613 | 0.0066 | 0.1818 | 0.0531 | 16.824 |
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| 0.6755 | 3.0 | 1125 | 0.6233 | 0.007 | 0.1957 | 0.0594 | 16.931 |
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| 0.5998 | 4.0 | 1500 | 0.6023 | 0.0082 | 0.202 | 0.063 | 16.7154 |
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| 0.5998 | 5.0 | 1875 | 0.5925 | 0.0096 | 0.2154 | 0.0703 | 16.5468 |
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| 0.5511 | 6.0 | 2250 | 0.5728 | 0.0091 | 0.2213 | 0.0774 | 15.7216 |
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| 0.5147 | 7.0 | 2625 | 0.5670 | 0.0111 | 0.2311 | 0.0815 | 16.6658 |
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| 0.4861 | 8.0 | 3000 | 0.5628 | 0.0089 | 0.2217 | 0.077 | 17.038 |
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| 0.4861 | 9.0 | 3375 | 0.5598 | 0.0103 | 0.2311 | 0.0825 | 16.362 |
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| 0.4526 | 10.0 | 3750 | 0.5589 | 0.0083 | 0.232 | 0.086 | 15.4298 |
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| 0.4329 | 11.0 | 4125 | 0.5649 | 0.0098 | 0.2349 | 0.0839 | 16.5468 |
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| 0.4102 | 12.0 | 4500 | 0.5633 | 0.0098 | 0.2366 | 0.0867 | 16.4136 |
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| 0.4102 | 13.0 | 4875 | 0.5841 | 0.01 | 0.2385 | 0.0869 | 15.9864 |
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| 0.3841 | 14.0 | 5250 | 0.5777 | 0.0128 | 0.2437 | 0.0894 | 16.842 |
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| 0.3673 | 15.0 | 5625 | 0.5955 | 0.009 | 0.2321 | 0.0831 | 16.6192 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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checkpoint-3750/config.json
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{
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"_name_or_path": "t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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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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"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": "4.28.1",
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"use_cache": true,
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"vocab_size": 32128
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}
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checkpoint-3750/generation_config.json
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}
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checkpoint-3750/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a65ae5297ddda243291096e8c93f479371adaa520178b3592e8940fdd9db090b
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size 839173
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checkpoint-3750/pytorch_model.bin
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checkpoint-3750/rng_state.pth
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size 14575
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checkpoint-3750/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 881
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checkpoint-3750/special_tokens_map.json
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|
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|
39 |
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|
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|
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|
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|
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|
44 |
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|
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|
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|
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|
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|
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|
50 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
60 |
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}
|
checkpoint-4875/generation_config.json
ADDED
@@ -0,0 +1,6 @@
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|
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{
|
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|
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|
6 |
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|
checkpoint-4875/optimizer.pt
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb6cb6755f2d94348066a947cc495a72754b384682c34fbdae0279db65c8ce16
|
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size 839173
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checkpoint-4875/rng_state.pth
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 14575
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checkpoint-4875/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 881
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checkpoint-4875/special_tokens_map.json
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@@ -0,0 +1,107 @@
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|
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|
checkpoint-4875/spiece.model
ADDED
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checkpoint-4875/tokenizer.json
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|
checkpoint-4875/tokenizer_config.json
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|
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|
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|
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|
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|
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|
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|
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|
110 |
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|
111 |
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|
checkpoint-4875/trainer_state.json
ADDED
@@ -0,0 +1,226 @@
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