Upload folder using huggingface_hub
Browse files- README.md +78 -0
- all_results.json +15 -0
- config.json +67 -0
- eval_results.json +9 -0
- model.safetensors +3 -0
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +937 -0
- train_results.json +9 -0
- trainer_state.json +199 -0
- training_args.bin +3 -0
README.md
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+
---
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language:
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- en
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base_model: google-t5/t5-base
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- accuracy
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model-index:
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- name: QNLI
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: GLUE QNLI
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type: glue
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args: qnli
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9282445542742083
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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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# QNLI
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the GLUE QNLI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2215
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- Accuracy: 0.9282
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.2856 | 1.0 | 1637 | 0.2216 | 0.9149 |
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| 0.2258 | 2.0 | 3274 | 0.2060 | 0.9220 |
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| 0.1791 | 3.0 | 4911 | 0.2038 | 0.9277 |
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| 0.1476 | 4.0 | 6548 | 0.2215 | 0.9282 |
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| 0.1263 | 5.0 | 8185 | 0.2301 | 0.9279 |
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### Framework versions
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- Transformers 4.43.3
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- Pytorch 1.11.0+cu113
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9282445542742083,
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"eval_loss": 0.2214784473180771,
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"eval_runtime": 9.2668,
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"eval_samples": 5463,
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"eval_samples_per_second": 589.527,
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"eval_steps_per_second": 9.28,
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| 9 |
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"total_flos": 7.99682578684032e+16,
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| 10 |
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"train_loss": 0.2058652666915679,
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| 11 |
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"train_runtime": 2769.836,
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"train_samples": 104743,
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"train_samples_per_second": 189.078,
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"train_steps_per_second": 2.955
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}
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config.json
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{
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"_name_or_path": "google-t5/t5-base",
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"architectures": [
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"T5ForSequenceClassification"
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+
],
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| 6 |
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"classifier_dropout": 0.0,
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| 7 |
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"d_ff": 3072,
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| 8 |
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"d_kv": 64,
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| 9 |
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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| 12 |
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"dropout_rate": 0.1,
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| 13 |
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"eos_token_id": 1,
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| 14 |
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"feed_forward_proj": "relu",
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| 15 |
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"finetuning_task": "qnli",
|
| 16 |
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"initializer_factor": 1.0,
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| 17 |
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"is_encoder_decoder": true,
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| 18 |
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"is_gated_act": false,
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| 19 |
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"label2id": {
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| 20 |
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"entailment": 0,
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| 21 |
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"not_entailment": 1
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| 22 |
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},
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| 23 |
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"layer_norm_epsilon": 1e-06,
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| 24 |
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"model_type": "t5",
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| 25 |
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"n_positions": 512,
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| 26 |
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"num_decoder_layers": 12,
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| 27 |
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"num_heads": 12,
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| 28 |
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"num_layers": 12,
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| 29 |
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"output_past": true,
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| 30 |
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"pad_token_id": 0,
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| 31 |
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"problem_type": "single_label_classification",
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| 32 |
+
"relative_attention_max_distance": 128,
|
| 33 |
+
"relative_attention_num_buckets": 32,
|
| 34 |
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"task_specific_params": {
|
| 35 |
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"summarization": {
|
| 36 |
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"early_stopping": true,
|
| 37 |
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"length_penalty": 2.0,
|
| 38 |
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"max_length": 200,
|
| 39 |
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"min_length": 30,
|
| 40 |
+
"no_repeat_ngram_size": 3,
|
| 41 |
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"num_beams": 4,
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| 42 |
+
"prefix": "summarize: "
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| 43 |
+
},
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| 44 |
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"translation_en_to_de": {
|
| 45 |
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"early_stopping": true,
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| 46 |
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"max_length": 300,
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| 47 |
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"num_beams": 4,
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| 48 |
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"prefix": "translate English to German: "
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| 49 |
+
},
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| 50 |
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"translation_en_to_fr": {
|
| 51 |
+
"early_stopping": true,
|
| 52 |
+
"max_length": 300,
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| 53 |
+
"num_beams": 4,
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| 54 |
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"prefix": "translate English to French: "
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},
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| 56 |
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"translation_en_to_ro": {
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| 57 |
+
"early_stopping": true,
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| 58 |
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"max_length": 300,
|
| 59 |
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"num_beams": 4,
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| 60 |
+
"prefix": "translate English to Romanian: "
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| 61 |
+
}
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| 62 |
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},
|
| 63 |
+
"torch_dtype": "float32",
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| 64 |
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"transformers_version": "4.43.3",
|
| 65 |
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"use_cache": true,
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| 66 |
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"vocab_size": 32128
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| 67 |
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}
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eval_results.json
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{
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"epoch": 5.0,
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| 3 |
+
"eval_accuracy": 0.9282445542742083,
|
| 4 |
+
"eval_loss": 0.2214784473180771,
|
| 5 |
+
"eval_runtime": 9.2668,
|
| 6 |
+
"eval_samples": 5463,
|
| 7 |
+
"eval_samples_per_second": 589.527,
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| 8 |
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"eval_steps_per_second": 9.28
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02035b1a295d8e0445b4d5dfa4d243e7f2f05a290f522c8270d1b08eef08b0d3
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| 3 |
+
size 894016712
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special_tokens_map.json
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{
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"additional_special_tokens": [
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| 3 |
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"<extra_id_0>",
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| 4 |
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"<extra_id_1>",
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| 5 |
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"<extra_id_2>",
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"<extra_id_3>",
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| 26 |
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"<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": "</s>",
|
| 105 |
+
"pad_token": "<pad>",
|
| 106 |
+
"unk_token": "<unk>"
|
| 107 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
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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| 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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| 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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| 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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| 210 |
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| 212 |
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| 213 |
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| 216 |
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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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| 229 |
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| 230 |
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| 232 |
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| 233 |
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| 234 |
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| 236 |
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| 237 |
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| 243 |
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| 244 |
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| 245 |
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| 274 |
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| 275 |
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| 276 |
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| 277 |
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| 280 |
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| 281 |
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| 282 |
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| 283 |
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| 284 |
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|
| 285 |
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| 286 |
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| 289 |
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| 290 |
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| 291 |
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| 292 |
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| 293 |
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"learning_rate": 1.1301160659743434e-06,
|
| 156 |
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|
| 157 |
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|
| 158 |
+
},
|
| 159 |
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{
|
| 160 |
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"epoch": 5.0,
|
| 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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"step": 8185
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 5.0,
|
| 170 |
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"step": 8185,
|
| 171 |
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"total_flos": 7.99682578684032e+16,
|
| 172 |
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| 173 |
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|
| 174 |
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"train_samples_per_second": 189.078,
|
| 175 |
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|
| 176 |
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}
|
| 177 |
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],
|
| 178 |
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"logging_steps": 500,
|
| 179 |
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"max_steps": 8185,
|
| 180 |
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"num_input_tokens_seen": 0,
|
| 181 |
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"num_train_epochs": 5,
|
| 182 |
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"save_steps": 500,
|
| 183 |
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"stateful_callbacks": {
|
| 184 |
+
"TrainerControl": {
|
| 185 |
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"args": {
|
| 186 |
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"should_epoch_stop": false,
|
| 187 |
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"should_evaluate": false,
|
| 188 |
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"should_log": false,
|
| 189 |
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"should_save": true,
|
| 190 |
+
"should_training_stop": true
|
| 191 |
+
},
|
| 192 |
+
"attributes": {}
|
| 193 |
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}
|
| 194 |
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},
|
| 195 |
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"total_flos": 7.99682578684032e+16,
|
| 196 |
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"train_batch_size": 64,
|
| 197 |
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"trial_name": null,
|
| 198 |
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|
| 199 |
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}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e03c186f6ecaec17b6a938ee6139403a93bf10cda10d26177723c36db040904e
|
| 3 |
+
size 4783
|