Commit
•
a0dc21b
1
Parent(s):
ab807a7
Upload 14 files
Browse files- README.md +71 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- all_results.json +12 -0
- eval_results.json +7 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2065 -0
- train_results.json +8 -0
- trainer_log.jsonl +68 -0
- trainer_state.json +498 -0
- training_args.bin +3 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
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---
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license: other
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library_name: peft
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tags:
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- llama-factory
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- lora
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- unsloth
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- generated_from_trainer
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base_model: unsloth/llama-3-70b-Instruct-bnb-4bit
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model-index:
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- name: A61K
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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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# A61K
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This model is a fine-tuned version of [unsloth/llama-3-70b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-70b-Instruct-bnb-4bit) on the patents_A61K_cla_abs_det_sample_2100_balance_train_llama-factory dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3432
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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: 3e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.5658 | 0.4938 | 100 | 0.4336 |
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| 0.361 | 0.9877 | 200 | 0.3438 |
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| 0.3343 | 1.4815 | 300 | 0.3503 |
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| 0.3275 | 1.9753 | 400 | 0.3462 |
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| 0.2916 | 2.4691 | 500 | 0.3432 |
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| 0.291 | 2.9630 | 600 | 0.3441 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/llama-3-70b-Instruct-bnb-4bit",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": "unsloth",
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:31acdfdbad716650fdfb76f3272827f4002e2dd42b55481469ef7e3cc58f9099
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size 65578776
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all_results.json
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{
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"epoch": 2.9925925925925925,
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"eval_loss": 0.34317871928215027,
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"eval_runtime": 640.5638,
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"eval_samples_per_second": 0.281,
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"eval_steps_per_second": 0.281,
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"total_flos": 1.4871334589840622e+19,
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"train_loss": 1.6824197243935992,
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"train_runtime": 45546.3315,
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"train_samples_per_second": 0.107,
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"train_steps_per_second": 0.013
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}
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eval_results.json
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{
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"epoch": 2.9925925925925925,
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"eval_loss": 0.34317871928215027,
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"eval_runtime": 640.5638,
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"eval_samples_per_second": 0.281,
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"eval_steps_per_second": 0.281
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|begin_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|end_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|reserved_special_token_250|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"128000": {
|
| 4 |
+
"content": "<|begin_of_text|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"128001": {
|
| 12 |
+
"content": "<|end_of_text|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"128002": {
|
| 20 |
+
"content": "<|reserved_special_token_0|>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"128003": {
|
| 28 |
+
"content": "<|reserved_special_token_1|>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128004": {
|
| 36 |
+
"content": "<|reserved_special_token_2|>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"128005": {
|
| 44 |
+
"content": "<|reserved_special_token_3|>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"128006": {
|
| 52 |
+
"content": "<|start_header_id|>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
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| 1709 |
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| 1710 |
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| 1713 |
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| 1714 |
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| 1716 |
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| 1720 |
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|
| 1721 |
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|
| 1722 |
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| 1724 |
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|
| 1728 |
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|
| 1729 |
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|
| 1730 |
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| 1731 |
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| 1732 |
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| 1733 |
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|
| 1736 |
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| 1737 |
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| 1738 |
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| 1739 |
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| 1740 |
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| 1741 |
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| 1742 |
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| 1743 |
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| 1744 |
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| 1745 |
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|
| 1746 |
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| 1747 |
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| 1748 |
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| 1751 |
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|
| 1753 |
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|
| 1754 |
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| 1755 |
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|
| 1756 |
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| 1757 |
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|
| 1760 |
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|
| 1761 |
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|
| 1762 |
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| 1763 |
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|
| 1764 |
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| 1765 |
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| 1768 |
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| 1769 |
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| 1770 |
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|
| 1772 |
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| 1777 |
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| 1778 |
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| 1779 |
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| 1793 |
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| 1794 |
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| 1795 |
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| 1796 |
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| 1797 |
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| 1800 |
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| 1801 |
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|
| 1802 |
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| 1803 |
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|
| 1804 |
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| 1805 |
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| 1807 |
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|
| 1808 |
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|
| 1809 |
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|
| 1810 |
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| 1811 |
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|
| 1812 |
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| 1813 |
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|
| 1817 |
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|
| 1818 |
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| 1819 |
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|
| 1820 |
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|
| 1821 |
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|
| 1825 |
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| 1826 |
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| 1827 |
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|
| 1828 |
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|
| 1829 |
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|
| 1830 |
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|
| 1831 |
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|
| 1832 |
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|
| 1833 |
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"special": true
|
| 1834 |
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|
| 1835 |
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|
| 1836 |
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"content": "<|reserved_special_token_224|>",
|
| 1837 |
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|
| 1838 |
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|
| 1839 |
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|
| 1840 |
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|
| 1841 |
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"special": true
|
| 1842 |
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|
| 1843 |
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|
| 1844 |
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|
| 1845 |
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|
| 1846 |
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|
| 1847 |
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|
| 1848 |
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|
| 1849 |
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|
| 1850 |
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|
| 1851 |
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|
| 1852 |
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"content": "<|reserved_special_token_226|>",
|
| 1853 |
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|
| 1854 |
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|
| 1855 |
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|
| 1856 |
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|
| 1857 |
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|
| 1858 |
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|
| 1859 |
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|
| 1860 |
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"content": "<|reserved_special_token_227|>",
|
| 1861 |
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|
| 1862 |
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|
| 1863 |
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|
| 1864 |
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|
| 1865 |
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|
| 1866 |
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| 1867 |
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|
| 1868 |
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|
| 1869 |
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|
| 1870 |
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|
| 1871 |
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|
| 1872 |
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|
| 1873 |
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|
| 1874 |
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| 1875 |
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|
| 1876 |
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|
| 1877 |
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|
| 1878 |
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|
| 1879 |
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|
| 1880 |
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|
| 1881 |
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|
| 1882 |
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|
| 1883 |
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|
| 1884 |
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"content": "<|reserved_special_token_230|>",
|
| 1885 |
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|
| 1886 |
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|
| 1887 |
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|
| 1888 |
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|
| 1889 |
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|
| 1890 |
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|
| 1891 |
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|
| 1892 |
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"content": "<|reserved_special_token_231|>",
|
| 1893 |
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|
| 1894 |
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|
| 1895 |
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|
| 1896 |
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|
| 1897 |
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|
| 1898 |
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|
| 1899 |
+
"128237": {
|
| 1900 |
+
"content": "<|reserved_special_token_232|>",
|
| 1901 |
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|
| 1902 |
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|
| 1903 |
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|
| 1904 |
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|
| 1905 |
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|
| 1906 |
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| 1907 |
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|
| 1908 |
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"content": "<|reserved_special_token_233|>",
|
| 1909 |
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|
| 1910 |
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|
| 1911 |
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|
| 1912 |
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|
| 1913 |
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|
| 1914 |
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},
|
| 1915 |
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"128239": {
|
| 1916 |
+
"content": "<|reserved_special_token_234|>",
|
| 1917 |
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|
| 1918 |
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|
| 1919 |
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|
| 1920 |
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|
| 1921 |
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|
| 1922 |
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},
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| 1923 |
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|
| 1924 |
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"content": "<|reserved_special_token_235|>",
|
| 1925 |
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|
| 1926 |
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|
| 1927 |
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|
| 1928 |
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|
| 1929 |
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|
| 1930 |
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},
|
| 1931 |
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|
| 1932 |
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"content": "<|reserved_special_token_236|>",
|
| 1933 |
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|
| 1934 |
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|
| 1935 |
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|
| 1936 |
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|
| 1937 |
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|
| 1938 |
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|
| 1939 |
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|
| 1940 |
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"content": "<|reserved_special_token_237|>",
|
| 1941 |
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|
| 1942 |
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|
| 1943 |
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|
| 1944 |
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|
| 1945 |
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|
| 1946 |
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},
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| 1947 |
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|
| 1948 |
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"content": "<|reserved_special_token_238|>",
|
| 1949 |
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|
| 1950 |
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|
| 1951 |
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|
| 1952 |
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|
| 1953 |
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|
| 1954 |
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},
|
| 1955 |
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|
| 1956 |
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"content": "<|reserved_special_token_239|>",
|
| 1957 |
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|
| 1958 |
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|
| 1959 |
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|
| 1960 |
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|
| 1961 |
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|
| 1962 |
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},
|
| 1963 |
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"128245": {
|
| 1964 |
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"content": "<|reserved_special_token_240|>",
|
| 1965 |
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|
| 1966 |
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|
| 1967 |
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"rstrip": false,
|
| 1968 |
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"single_word": false,
|
| 1969 |
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"special": true
|
| 1970 |
+
},
|
| 1971 |
+
"128246": {
|
| 1972 |
+
"content": "<|reserved_special_token_241|>",
|
| 1973 |
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|
| 1974 |
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|
| 1975 |
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|
| 1976 |
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|
| 1977 |
+
"special": true
|
| 1978 |
+
},
|
| 1979 |
+
"128247": {
|
| 1980 |
+
"content": "<|reserved_special_token_242|>",
|
| 1981 |
+
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|
| 1982 |
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|
| 1983 |
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"rstrip": false,
|
| 1984 |
+
"single_word": false,
|
| 1985 |
+
"special": true
|
| 1986 |
+
},
|
| 1987 |
+
"128248": {
|
| 1988 |
+
"content": "<|reserved_special_token_243|>",
|
| 1989 |
+
"lstrip": false,
|
| 1990 |
+
"normalized": false,
|
| 1991 |
+
"rstrip": false,
|
| 1992 |
+
"single_word": false,
|
| 1993 |
+
"special": true
|
| 1994 |
+
},
|
| 1995 |
+
"128249": {
|
| 1996 |
+
"content": "<|reserved_special_token_244|>",
|
| 1997 |
+
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|
| 1998 |
+
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|
| 1999 |
+
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|
| 2000 |
+
"single_word": false,
|
| 2001 |
+
"special": true
|
| 2002 |
+
},
|
| 2003 |
+
"128250": {
|
| 2004 |
+
"content": "<|reserved_special_token_245|>",
|
| 2005 |
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|
| 2006 |
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|
| 2007 |
+
"rstrip": false,
|
| 2008 |
+
"single_word": false,
|
| 2009 |
+
"special": true
|
| 2010 |
+
},
|
| 2011 |
+
"128251": {
|
| 2012 |
+
"content": "<|reserved_special_token_246|>",
|
| 2013 |
+
"lstrip": false,
|
| 2014 |
+
"normalized": false,
|
| 2015 |
+
"rstrip": false,
|
| 2016 |
+
"single_word": false,
|
| 2017 |
+
"special": true
|
| 2018 |
+
},
|
| 2019 |
+
"128252": {
|
| 2020 |
+
"content": "<|reserved_special_token_247|>",
|
| 2021 |
+
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|
| 2022 |
+
"normalized": false,
|
| 2023 |
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"rstrip": false,
|
| 2024 |
+
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|
| 2025 |
+
"special": true
|
| 2026 |
+
},
|
| 2027 |
+
"128253": {
|
| 2028 |
+
"content": "<|reserved_special_token_248|>",
|
| 2029 |
+
"lstrip": false,
|
| 2030 |
+
"normalized": false,
|
| 2031 |
+
"rstrip": false,
|
| 2032 |
+
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|
| 2033 |
+
"special": true
|
| 2034 |
+
},
|
| 2035 |
+
"128254": {
|
| 2036 |
+
"content": "<|reserved_special_token_249|>",
|
| 2037 |
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|
| 2038 |
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"normalized": false,
|
| 2039 |
+
"rstrip": false,
|
| 2040 |
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|
| 2041 |
+
"special": true
|
| 2042 |
+
},
|
| 2043 |
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"128255": {
|
| 2044 |
+
"content": "<|reserved_special_token_250|>",
|
| 2045 |
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|
| 2046 |
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"normalized": false,
|
| 2047 |
+
"rstrip": false,
|
| 2048 |
+
"single_word": false,
|
| 2049 |
+
"special": true
|
| 2050 |
+
}
|
| 2051 |
+
},
|
| 2052 |
+
"bos_token": "<|begin_of_text|>",
|
| 2053 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message + '\\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'Human: ' + content + '\\nAssistant: ' }}{% elif message['role'] == 'assistant' %}{{ content + '<|end_of_text|>' + '\\n' }}{% endif %}{% endfor %}",
|
| 2054 |
+
"clean_up_tokenization_spaces": true,
|
| 2055 |
+
"eos_token": "<|end_of_text|>",
|
| 2056 |
+
"model_input_names": [
|
| 2057 |
+
"input_ids",
|
| 2058 |
+
"attention_mask"
|
| 2059 |
+
],
|
| 2060 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 2061 |
+
"pad_token": "<|reserved_special_token_250|>",
|
| 2062 |
+
"padding_side": "right",
|
| 2063 |
+
"split_special_tokens": false,
|
| 2064 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2065 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.9925925925925925,
|
| 3 |
+
"total_flos": 1.4871334589840622e+19,
|
| 4 |
+
"train_loss": 1.6824197243935992,
|
| 5 |
+
"train_runtime": 45546.3315,
|
| 6 |
+
"train_samples_per_second": 0.107,
|
| 7 |
+
"train_steps_per_second": 0.013
|
| 8 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,68 @@
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|
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