Jiazheng Li
commited on
Commit
·
a57f764
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Parent(s):
36102ca
init push
Browse files- README.md +80 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- all_results.json +19 -0
- eval_results.json +15 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2065 -0
- train_results.json +7 -0
- trainer_log.jsonl +188 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
- training_rewards_accuracies.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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- generated_from_trainer
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base_model: meta-llama/Meta-Llama-3-8B
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model-index:
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- name: sft_trained_woaqa_llama3_dpo
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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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# sft_trained_woaqa_llama3_dpo
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the sft_wo_aqa_pref dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0569
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- Rewards/chosen: 9.0148
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- Rewards/rejected: 7.8220
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- Rewards/accuracies: 0.6667
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- Rewards/margins: 1.1928
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- Logps/rejected: -180.5298
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- Logps/chosen: -151.5047
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- Logits/rejected: -1.4439
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- Logits/chosen: -1.4397
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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: 1e-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: 0.1
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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 | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 1.3287 | 0.33 | 200 | 1.8699 | 9.9343 | 9.1282 | 0.6312 | 0.8061 | -167.4677 | -142.3102 | -1.1863 | -1.1862 |
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| 1.1821 | 0.67 | 400 | 1.9729 | 9.9379 | 9.2024 | 0.6113 | 0.7354 | -166.7256 | -142.2745 | -1.2732 | -1.2718 |
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| 0.9116 | 1.0 | 600 | 1.9455 | 9.7997 | 8.9466 | 0.6482 | 0.8531 | -169.2835 | -143.6562 | -1.3527 | -1.3510 |
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| 0.8412 | 1.33 | 800 | 2.0041 | 9.5449 | 8.5167 | 0.6397 | 1.0282 | -173.5831 | -146.2043 | -1.4206 | -1.4179 |
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| 0.7345 | 1.67 | 1000 | 2.0659 | 9.1494 | 8.1514 | 0.6426 | 0.9980 | -177.2357 | -150.1593 | -1.4325 | -1.4290 |
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| 0.6609 | 2.0 | 1200 | 2.0321 | 9.0327 | 7.8126 | 0.6681 | 1.2200 | -180.6237 | -151.3265 | -1.4359 | -1.4321 |
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| 0.6768 | 2.33 | 1400 | 2.0313 | 9.1007 | 7.8929 | 0.6709 | 1.2079 | -179.8211 | -150.6457 | -1.4472 | -1.4432 |
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| 0.615 | 2.67 | 1600 | 2.0515 | 9.0972 | 7.9582 | 0.6624 | 1.1390 | -179.1680 | -150.6812 | -1.4413 | -1.4370 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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": "meta-llama/Meta-Llama-3-8B",
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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": null,
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"target_modules": [
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"k_proj",
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"gate_proj",
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"o_proj",
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"down_proj",
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"up_proj",
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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:b2493976b74b0dd11d080ba9d6c4f96634332af3dcb376eff19892306435c54a
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size 83945296
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all_results.json
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{
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"epoch": 3.0,
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"eval_logits/chosen": -1.4396553039550781,
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"eval_logits/rejected": -1.4439030885696411,
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"eval_logps/chosen": -151.50469970703125,
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"eval_logps/rejected": -180.52976989746094,
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"eval_loss": 2.0568761825561523,
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"eval_rewards/accuracies": 0.6666666865348816,
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"eval_rewards/chosen": 9.014835357666016,
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"eval_rewards/margins": 1.1928315162658691,
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"eval_rewards/rejected": 7.822003364562988,
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"eval_runtime": 280.3771,
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"eval_samples_per_second": 2.514,
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"eval_steps_per_second": 2.514,
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"train_loss": 0.8950637202828078,
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"train_runtime": 14615.0375,
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"train_samples_per_second": 0.985,
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"train_steps_per_second": 0.123
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_logits/chosen": -1.4396553039550781,
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"eval_logits/rejected": -1.4439030885696411,
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"eval_logps/chosen": -151.50469970703125,
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"eval_logps/rejected": -180.52976989746094,
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"eval_loss": 2.0568761825561523,
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"eval_rewards/accuracies": 0.6666666865348816,
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"eval_rewards/chosen": 9.014835357666016,
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"eval_rewards/margins": 1.1928315162658691,
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"eval_rewards/rejected": 7.822003364562988,
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"eval_runtime": 280.3771,
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"eval_samples_per_second": 2.514,
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"eval_steps_per_second": 2.514
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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": "<|eot_id|>",
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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": "<|eot_id|>"
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}
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tokenizer.json
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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 |
+
},
|
| 59 |
+
"128007": {
|
| 60 |
+
"content": "<|end_header_id|>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
},
|
| 67 |
+
"128008": {
|
| 68 |
+
"content": "<|reserved_special_token_4|>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false,
|
| 73 |
+
"special": true
|
| 74 |
+
},
|
| 75 |
+
"128009": {
|
| 76 |
+
"content": "<|eot_id|>",
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"normalized": false,
|
| 79 |
+
"rstrip": false,
|
| 80 |
+
"single_word": false,
|
| 81 |
+
"special": true
|
| 82 |
+
},
|
| 83 |
+
"128010": {
|
| 84 |
+
"content": "<|reserved_special_token_5|>",
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"normalized": false,
|
| 87 |
+
"rstrip": false,
|
| 88 |
+
"single_word": false,
|
| 89 |
+
"special": true
|
| 90 |
+
},
|
| 91 |
+
"128011": {
|
| 92 |
+
"content": "<|reserved_special_token_6|>",
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"normalized": false,
|
| 95 |
+
"rstrip": false,
|
| 96 |
+
"single_word": false,
|
| 97 |
+
"special": true
|
| 98 |
+
},
|
| 99 |
+
"128012": {
|
| 100 |
+
"content": "<|reserved_special_token_7|>",
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"normalized": false,
|
| 103 |
+
"rstrip": false,
|
| 104 |
+
"single_word": false,
|
| 105 |
+
"special": true
|
| 106 |
+
},
|
| 107 |
+
"128013": {
|
| 108 |
+
"content": "<|reserved_special_token_8|>",
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"normalized": false,
|
| 111 |
+
"rstrip": false,
|
| 112 |
+
"single_word": false,
|
| 113 |
+
"special": true
|
| 114 |
+
},
|
| 115 |
+
"128014": {
|
| 116 |
+
"content": "<|reserved_special_token_9|>",
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"normalized": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
+
"single_word": false,
|
| 121 |
+
"special": true
|
| 122 |
+
},
|
| 123 |
+
"128015": {
|
| 124 |
+
"content": "<|reserved_special_token_10|>",
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"normalized": false,
|
| 127 |
+
"rstrip": false,
|
| 128 |
+
"single_word": false,
|
| 129 |
+
"special": true
|
| 130 |
+
},
|
| 131 |
+
"128016": {
|
| 132 |
+
"content": "<|reserved_special_token_11|>",
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"normalized": false,
|
| 135 |
+
"rstrip": false,
|
| 136 |
+
"single_word": false,
|
| 137 |
+
"special": true
|
| 138 |
+
},
|
| 139 |
+
"128017": {
|
| 140 |
+
"content": "<|reserved_special_token_12|>",
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"normalized": false,
|
| 143 |
+
"rstrip": false,
|
| 144 |
+
"single_word": false,
|
| 145 |
+
"special": true
|
| 146 |
+
},
|
| 147 |
+
"128018": {
|
| 148 |
+
"content": "<|reserved_special_token_13|>",
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"normalized": false,
|
| 151 |
+
"rstrip": false,
|
| 152 |
+
"single_word": false,
|
| 153 |
+
"special": true
|
| 154 |
+
},
|
| 155 |
+
"128019": {
|
| 156 |
+
"content": "<|reserved_special_token_14|>",
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"normalized": false,
|
| 159 |
+
"rstrip": false,
|
| 160 |
+
"single_word": false,
|
| 161 |
+
"special": true
|
| 162 |
+
},
|
| 163 |
+
"128020": {
|
| 164 |
+
"content": "<|reserved_special_token_15|>",
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"normalized": false,
|
| 167 |
+
"rstrip": false,
|
| 168 |
+
"single_word": false,
|
| 169 |
+
"special": true
|
| 170 |
+
},
|
| 171 |
+
"128021": {
|
| 172 |
+
"content": "<|reserved_special_token_16|>",
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"normalized": false,
|
| 175 |
+
"rstrip": false,
|
| 176 |
+
"single_word": false,
|
| 177 |
+
"special": true
|
| 178 |
+
},
|
| 179 |
+
"128022": {
|
| 180 |
+
"content": "<|reserved_special_token_17|>",
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"normalized": false,
|
| 183 |
+
"rstrip": false,
|
| 184 |
+
"single_word": false,
|
| 185 |
+
"special": true
|
| 186 |
+
},
|
| 187 |
+
"128023": {
|
| 188 |
+
"content": "<|reserved_special_token_18|>",
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"normalized": false,
|
| 191 |
+
"rstrip": false,
|
| 192 |
+
"single_word": false,
|
| 193 |
+
"special": true
|
| 194 |
+
},
|
| 195 |
+
"128024": {
|
| 196 |
+
"content": "<|reserved_special_token_19|>",
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"normalized": false,
|
| 199 |
+
"rstrip": false,
|
| 200 |
+
"single_word": false,
|
| 201 |
+
"special": true
|
| 202 |
+
},
|
| 203 |
+
"128025": {
|
| 204 |
+
"content": "<|reserved_special_token_20|>",
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"normalized": false,
|
| 207 |
+
"rstrip": false,
|
| 208 |
+
"single_word": false,
|
| 209 |
+
"special": true
|
| 210 |
+
},
|
| 211 |
+
"128026": {
|
| 212 |
+
"content": "<|reserved_special_token_21|>",
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"normalized": false,
|
| 215 |
+
"rstrip": false,
|
| 216 |
+
"single_word": false,
|
| 217 |
+
"special": true
|
| 218 |
+
},
|
| 219 |
+
"128027": {
|
| 220 |
+
"content": "<|reserved_special_token_22|>",
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"normalized": false,
|
| 223 |
+
"rstrip": false,
|
| 224 |
+
"single_word": false,
|
| 225 |
+
"special": true
|
| 226 |
+
},
|
| 227 |
+
"128028": {
|
| 228 |
+
"content": "<|reserved_special_token_23|>",
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"normalized": false,
|
| 231 |
+
"rstrip": false,
|
| 232 |
+
"single_word": false,
|
| 233 |
+
"special": true
|
| 234 |
+
},
|
| 235 |
+
"128029": {
|
| 236 |
+
"content": "<|reserved_special_token_24|>",
|
| 237 |
+
"lstrip": false,
|
| 238 |
+
"normalized": false,
|
| 239 |
+
"rstrip": false,
|
| 240 |
+
"single_word": false,
|
| 241 |
+
"special": true
|
| 242 |
+
},
|
| 243 |
+
"128030": {
|
| 244 |
+
"content": "<|reserved_special_token_25|>",
|
| 245 |
+
"lstrip": false,
|
| 246 |
+
"normalized": false,
|
| 247 |
+
"rstrip": false,
|
| 248 |
+
"single_word": false,
|
| 249 |
+
"special": true
|
| 250 |
+
},
|
| 251 |
+
"128031": {
|
| 252 |
+
"content": "<|reserved_special_token_26|>",
|
| 253 |
+
"lstrip": false,
|
| 254 |
+
"normalized": false,
|
| 255 |
+
"rstrip": false,
|
| 256 |
+
"single_word": false,
|
| 257 |
+
"special": true
|
| 258 |
+
},
|
| 259 |
+
"128032": {
|
| 260 |
+
"content": "<|reserved_special_token_27|>",
|
| 261 |
+
"lstrip": false,
|
| 262 |
+
"normalized": false,
|
| 263 |
+
"rstrip": false,
|
| 264 |
+
"single_word": false,
|
| 265 |
+
"special": true
|
| 266 |
+
},
|
| 267 |
+
"128033": {
|
| 268 |
+
"content": "<|reserved_special_token_28|>",
|
| 269 |
+
"lstrip": false,
|
| 270 |
+
"normalized": false,
|
| 271 |
+
"rstrip": false,
|
| 272 |
+
"single_word": false,
|
| 273 |
+
"special": true
|
| 274 |
+
},
|
| 275 |
+
"128034": {
|
| 276 |
+
"content": "<|reserved_special_token_29|>",
|
| 277 |
+
"lstrip": false,
|
| 278 |
+
"normalized": false,
|
| 279 |
+
"rstrip": false,
|
| 280 |
+
"single_word": false,
|
| 281 |
+
"special": true
|
| 282 |
+
},
|
| 283 |
+
"128035": {
|
| 284 |
+
"content": "<|reserved_special_token_30|>",
|
| 285 |
+
"lstrip": false,
|
| 286 |
+
"normalized": false,
|
| 287 |
+
"rstrip": false,
|
| 288 |
+
"single_word": false,
|
| 289 |
+
"special": true
|
| 290 |
+
},
|
| 291 |
+
"128036": {
|
| 292 |
+
"content": "<|reserved_special_token_31|>",
|
| 293 |
+
"lstrip": false,
|
| 294 |
+
"normalized": false,
|
| 295 |
+
"rstrip": false,
|
| 296 |
+
"single_word": false,
|
| 297 |
+
"special": true
|
| 298 |
+
},
|
| 299 |
+
"128037": {
|
| 300 |
+
"content": "<|reserved_special_token_32|>",
|
| 301 |
+
"lstrip": false,
|
| 302 |
+
"normalized": false,
|
| 303 |
+
"rstrip": false,
|
| 304 |
+
"single_word": false,
|
| 305 |
+
"special": true
|
| 306 |
+
},
|
| 307 |
+
"128038": {
|
| 308 |
+
"content": "<|reserved_special_token_33|>",
|
| 309 |
+
"lstrip": false,
|
| 310 |
+
"normalized": false,
|
| 311 |
+
"rstrip": false,
|
| 312 |
+
"single_word": false,
|
| 313 |
+
"special": true
|
| 314 |
+
},
|
| 315 |
+
"128039": {
|
| 316 |
+
"content": "<|reserved_special_token_34|>",
|
| 317 |
+
"lstrip": false,
|
| 318 |
+
"normalized": false,
|
| 319 |
+
"rstrip": false,
|
| 320 |
+
"single_word": false,
|
| 321 |
+
"special": true
|
| 322 |
+
},
|
| 323 |
+
"128040": {
|
| 324 |
+
"content": "<|reserved_special_token_35|>",
|
| 325 |
+
"lstrip": false,
|
| 326 |
+
"normalized": false,
|
| 327 |
+
"rstrip": false,
|
| 328 |
+
"single_word": false,
|
| 329 |
+
"special": true
|
| 330 |
+
},
|
| 331 |
+
"128041": {
|
| 332 |
+
"content": "<|reserved_special_token_36|>",
|
| 333 |
+
"lstrip": false,
|
| 334 |
+
"normalized": false,
|
| 335 |
+
"rstrip": false,
|
| 336 |
+
"single_word": false,
|
| 337 |
+
"special": true
|
| 338 |
+
},
|
| 339 |
+
"128042": {
|
| 340 |
+
"content": "<|reserved_special_token_37|>",
|
| 341 |
+
"lstrip": false,
|
| 342 |
+
"normalized": false,
|
| 343 |
+
"rstrip": false,
|
| 344 |
+
"single_word": false,
|
| 345 |
+
"special": true
|
| 346 |
+
},
|
| 347 |
+
"128043": {
|
| 348 |
+
"content": "<|reserved_special_token_38|>",
|
| 349 |
+
"lstrip": false,
|
| 350 |
+
"normalized": false,
|
| 351 |
+
"rstrip": false,
|
| 352 |
+
"single_word": false,
|
| 353 |
+
"special": true
|
| 354 |
+
},
|
| 355 |
+
"128044": {
|
| 356 |
+
"content": "<|reserved_special_token_39|>",
|
| 357 |
+
"lstrip": false,
|
| 358 |
+
"normalized": false,
|
| 359 |
+
"rstrip": false,
|
| 360 |
+
"single_word": false,
|
| 361 |
+
"special": true
|
| 362 |
+
},
|
| 363 |
+
"128045": {
|
| 364 |
+
"content": "<|reserved_special_token_40|>",
|
| 365 |
+
"lstrip": false,
|
| 366 |
+
"normalized": false,
|
| 367 |
+
"rstrip": false,
|
| 368 |
+
"single_word": false,
|
| 369 |
+
"special": true
|
| 370 |
+
},
|
| 371 |
+
"128046": {
|
| 372 |
+
"content": "<|reserved_special_token_41|>",
|
| 373 |
+
"lstrip": false,
|
| 374 |
+
"normalized": false,
|
| 375 |
+
"rstrip": false,
|
| 376 |
+
"single_word": false,
|
| 377 |
+
"special": true
|
| 378 |
+
},
|
| 379 |
+
"128047": {
|
| 380 |
+
"content": "<|reserved_special_token_42|>",
|
| 381 |
+
"lstrip": false,
|
| 382 |
+
"normalized": false,
|
| 383 |
+
"rstrip": false,
|
| 384 |
+
"single_word": false,
|
| 385 |
+
"special": true
|
| 386 |
+
},
|
| 387 |
+
"128048": {
|
| 388 |
+
"content": "<|reserved_special_token_43|>",
|
| 389 |
+
"lstrip": false,
|
| 390 |
+
"normalized": false,
|
| 391 |
+
"rstrip": false,
|
| 392 |
+
"single_word": false,
|
| 393 |
+
"special": true
|
| 394 |
+
},
|
| 395 |
+
"128049": {
|
| 396 |
+
"content": "<|reserved_special_token_44|>",
|
| 397 |
+
"lstrip": false,
|
| 398 |
+
"normalized": false,
|
| 399 |
+
"rstrip": false,
|
| 400 |
+
"single_word": false,
|
| 401 |
+
"special": true
|
| 402 |
+
},
|
| 403 |
+
"128050": {
|
| 404 |
+
"content": "<|reserved_special_token_45|>",
|
| 405 |
+
"lstrip": false,
|
| 406 |
+
"normalized": false,
|
| 407 |
+
"rstrip": false,
|
| 408 |
+
"single_word": false,
|
| 409 |
+
"special": true
|
| 410 |
+
},
|
| 411 |
+
"128051": {
|
| 412 |
+
"content": "<|reserved_special_token_46|>",
|
| 413 |
+
"lstrip": false,
|
| 414 |
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| 1643 |
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| 1825 |
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| 1826 |
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| 1828 |
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| 1829 |
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| 1833 |
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| 1834 |
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|
| 1836 |
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| 1837 |
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| 1841 |
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| 1842 |
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| 1844 |
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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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|
| 1853 |
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| 1854 |
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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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|
| 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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|
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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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|
| 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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|
| 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 |
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|
| 1900 |
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|
| 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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|
| 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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|
| 1916 |
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|
| 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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|
| 1923 |
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|
| 1924 |
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|
| 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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|
| 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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|
| 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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|
| 1947 |
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|
| 1948 |
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|
| 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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|
| 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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|
| 1964 |
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|
| 1965 |
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|
| 1966 |
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|
| 1967 |
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|
| 1968 |
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|
| 1969 |
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|
| 1970 |
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|
| 1971 |
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|
| 1972 |
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|
| 1973 |
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|
| 1974 |
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|
| 1975 |
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|
| 1976 |
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|
| 1977 |
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|
| 1978 |
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|
| 1979 |
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|
| 1980 |
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|
| 1981 |
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|
| 1982 |
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|
| 1983 |
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|
| 1984 |
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|
| 1985 |
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|
| 1986 |
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|
| 1987 |
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|
| 1988 |
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"content": "<|reserved_special_token_243|>",
|
| 1989 |
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|
| 1990 |
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|
| 1991 |
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|
| 1992 |
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|
| 1993 |
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|
| 1994 |
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|
| 1995 |
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|
| 1996 |
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|
| 1997 |
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|
| 1998 |
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|
| 1999 |
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|
| 2000 |
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|
| 2001 |
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|
| 2002 |
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|
| 2003 |
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|
| 2004 |
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"content": "<|reserved_special_token_245|>",
|
| 2005 |
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|
| 2006 |
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|
| 2007 |
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|
| 2008 |
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|
| 2009 |
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|
| 2010 |
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|
| 2011 |
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|
| 2012 |
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|
| 2013 |
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|
| 2014 |
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|
| 2015 |
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|
| 2016 |
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|
| 2017 |
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|
| 2018 |
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|
| 2019 |
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|
| 2020 |
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"content": "<|reserved_special_token_247|>",
|
| 2021 |
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|
| 2022 |
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|
| 2023 |
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|
| 2024 |
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|
| 2025 |
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|
| 2026 |
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|
| 2027 |
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|
| 2028 |
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"content": "<|reserved_special_token_248|>",
|
| 2029 |
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|
| 2030 |
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|
| 2031 |
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|
| 2032 |
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|
| 2033 |
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|
| 2034 |
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| 2035 |
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|
| 2036 |
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|
| 2037 |
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| 2038 |
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| 2039 |
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| 2040 |
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| 2041 |
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| 2042 |
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| 2043 |
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|
| 2044 |
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| 2045 |
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| 2046 |
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| 2047 |
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| 2048 |
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| 2049 |
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| 2050 |
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| 2051 |
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| 2052 |
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|
| 2053 |
+
"chat_template": "{% set system_message = 'You are a helpful assistant.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|begin_of_text|>' + '<|start_header_id|>system<|end_header_id|>\\n\\n' + system_message + '<|eot_id|>' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|start_header_id|>user<|end_header_id|>\\n\\n' + content + '<|eot_id|><|start_header_id|>assistant<|end_header_id|>\\n\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|eot_id|>' }}{% endif %}{% endfor %}",
|
| 2054 |
+
"clean_up_tokenization_spaces": true,
|
| 2055 |
+
"eos_token": "<|eot_id|>",
|
| 2056 |
+
"model_input_names": [
|
| 2057 |
+
"input_ids",
|
| 2058 |
+
"attention_mask"
|
| 2059 |
+
],
|
| 2060 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 2061 |
+
"pad_token": "<|eot_id|>",
|
| 2062 |
+
"padding_side": "right",
|
| 2063 |
+
"split_special_tokens": false,
|
| 2064 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2065 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"train_loss": 0.8950637202828078,
|
| 4 |
+
"train_runtime": 14615.0375,
|
| 5 |
+
"train_samples_per_second": 0.985,
|
| 6 |
+
"train_steps_per_second": 0.123
|
| 7 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,188 @@
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|
| 1 |
+
{"current_steps": 10, "total_steps": 1797, "loss": 1.5859, "accuracy": 0.6625000238418579, "learning_rate": 9.999523086940423e-06, "epoch": 0.02, "percentage": 0.56, "elapsed_time": "0:01:07", "remaining_time": "3:21:35"}
|
| 2 |
+
{"current_steps": 20, "total_steps": 1797, "loss": 1.786, "accuracy": 0.5874999761581421, "learning_rate": 9.997817603030276e-06, "epoch": 0.03, "percentage": 1.11, "elapsed_time": "0:02:16", "remaining_time": "3:21:56"}
|
| 3 |
+
{"current_steps": 30, "total_steps": 1797, "loss": 1.4256, "accuracy": 0.75, "learning_rate": 9.994471383754724e-06, "epoch": 0.05, "percentage": 1.67, "elapsed_time": "0:03:24", "remaining_time": "3:21:02"}
|
| 4 |
+
{"current_steps": 40, "total_steps": 1797, "loss": 1.5826, "accuracy": 0.699999988079071, "learning_rate": 9.990154489175436e-06, "epoch": 0.07, "percentage": 2.23, "elapsed_time": "0:04:33", "remaining_time": "3:20:12"}
|
| 5 |
+
{"current_steps": 50, "total_steps": 1797, "loss": 1.4624, "accuracy": 0.7749999761581421, "learning_rate": 9.983908955774398e-06, "epoch": 0.08, "percentage": 2.78, "elapsed_time": "0:05:43", "remaining_time": "3:19:53"}
|
| 6 |
+
{"current_steps": 60, "total_steps": 1797, "loss": 1.5662, "accuracy": 0.75, "learning_rate": 9.976140032846158e-06, "epoch": 0.1, "percentage": 3.34, "elapsed_time": "0:06:53", "remaining_time": "3:19:28"}
|
| 7 |
+
{"current_steps": 70, "total_steps": 1797, "loss": 1.3566, "accuracy": 0.8125, "learning_rate": 9.966850095052043e-06, "epoch": 0.12, "percentage": 3.9, "elapsed_time": "0:08:02", "remaining_time": "3:18:15"}
|
| 8 |
+
{"current_steps": 80, "total_steps": 1797, "loss": 1.3657, "accuracy": 0.8125, "learning_rate": 9.956041981969192e-06, "epoch": 0.13, "percentage": 4.45, "elapsed_time": "0:09:09", "remaining_time": "3:16:29"}
|
| 9 |
+
{"current_steps": 90, "total_steps": 1797, "loss": 1.3773, "accuracy": 0.8374999761581421, "learning_rate": 9.943718997222616e-06, "epoch": 0.15, "percentage": 5.01, "elapsed_time": "0:10:18", "remaining_time": "3:15:29"}
|
| 10 |
+
{"current_steps": 100, "total_steps": 1797, "loss": 1.3082, "accuracy": 0.7749999761581421, "learning_rate": 9.929884907475405e-06, "epoch": 0.17, "percentage": 5.56, "elapsed_time": "0:11:26", "remaining_time": "3:14:12"}
|
| 11 |
+
{"current_steps": 110, "total_steps": 1797, "loss": 1.2816, "accuracy": 0.862500011920929, "learning_rate": 9.914543941277401e-06, "epoch": 0.18, "percentage": 6.12, "elapsed_time": "0:12:38", "remaining_time": "3:13:56"}
|
| 12 |
+
{"current_steps": 120, "total_steps": 1797, "loss": 1.4305, "accuracy": 0.7749999761581421, "learning_rate": 9.897700787772703e-06, "epoch": 0.2, "percentage": 6.68, "elapsed_time": "0:13:48", "remaining_time": "3:12:51"}
|
| 13 |
+
{"current_steps": 130, "total_steps": 1797, "loss": 1.1746, "accuracy": 0.8374999761581421, "learning_rate": 9.879360595266359e-06, "epoch": 0.22, "percentage": 7.23, "elapsed_time": "0:14:55", "remaining_time": "3:11:20"}
|
| 14 |
+
{"current_steps": 140, "total_steps": 1797, "loss": 1.3081, "accuracy": 0.8500000238418579, "learning_rate": 9.861579077506591e-06, "epoch": 0.23, "percentage": 7.79, "elapsed_time": "0:16:05", "remaining_time": "3:10:25"}
|
| 15 |
+
{"current_steps": 150, "total_steps": 1797, "loss": 1.3711, "accuracy": 0.7749999761581421, "learning_rate": 9.84041033194796e-06, "epoch": 0.25, "percentage": 8.35, "elapsed_time": "0:17:15", "remaining_time": "3:09:31"}
|
| 16 |
+
{"current_steps": 160, "total_steps": 1797, "loss": 1.4901, "accuracy": 0.7250000238418579, "learning_rate": 9.817762058879405e-06, "epoch": 0.27, "percentage": 8.9, "elapsed_time": "0:18:23", "remaining_time": "3:08:10"}
|
| 17 |
+
{"current_steps": 170, "total_steps": 1797, "loss": 1.3182, "accuracy": 0.862500011920929, "learning_rate": 9.793641181008042e-06, "epoch": 0.28, "percentage": 9.46, "elapsed_time": "0:19:34", "remaining_time": "3:07:20"}
|
| 18 |
+
{"current_steps": 180, "total_steps": 1797, "loss": 1.3317, "accuracy": 0.8374999761581421, "learning_rate": 9.76805507115971e-06, "epoch": 0.3, "percentage": 10.02, "elapsed_time": "0:20:42", "remaining_time": "3:06:02"}
|
| 19 |
+
{"current_steps": 190, "total_steps": 1797, "loss": 1.3589, "accuracy": 0.7875000238418579, "learning_rate": 9.741011550025385e-06, "epoch": 0.32, "percentage": 10.57, "elapsed_time": "0:21:50", "remaining_time": "3:04:47"}
|
| 20 |
+
{"current_steps": 200, "total_steps": 1797, "loss": 1.3287, "accuracy": 0.75, "learning_rate": 9.71251888377069e-06, "epoch": 0.33, "percentage": 11.13, "elapsed_time": "0:22:59", "remaining_time": "3:03:37"}
|
| 21 |
+
{"current_steps": 200, "total_steps": 1797, "eval_loss": 1.8699389696121216, "epoch": 0.33, "percentage": 11.13, "elapsed_time": "0:27:40", "remaining_time": "3:40:56"}
|
| 22 |
+
{"current_steps": 210, "total_steps": 1797, "loss": 1.1424, "accuracy": 0.9125000238418579, "learning_rate": 9.682585781509243e-06, "epoch": 0.35, "percentage": 11.69, "elapsed_time": "0:28:49", "remaining_time": "3:37:46"}
|
| 23 |
+
{"current_steps": 220, "total_steps": 1797, "loss": 1.3393, "accuracy": 0.7875000238418579, "learning_rate": 9.651221392640626e-06, "epoch": 0.37, "percentage": 12.24, "elapsed_time": "0:29:58", "remaining_time": "3:34:55"}
|
| 24 |
+
{"current_steps": 230, "total_steps": 1797, "loss": 1.0207, "accuracy": 0.9375, "learning_rate": 9.618435304053756e-06, "epoch": 0.38, "percentage": 12.8, "elapsed_time": "0:31:06", "remaining_time": "3:31:55"}
|
| 25 |
+
{"current_steps": 240, "total_steps": 1797, "loss": 1.3149, "accuracy": 0.8500000238418579, "learning_rate": 9.584237537196539e-06, "epoch": 0.4, "percentage": 13.36, "elapsed_time": "0:32:15", "remaining_time": "3:29:18"}
|
| 26 |
+
{"current_steps": 250, "total_steps": 1797, "loss": 1.2689, "accuracy": 0.824999988079071, "learning_rate": 9.548638545012714e-06, "epoch": 0.42, "percentage": 13.91, "elapsed_time": "0:33:22", "remaining_time": "3:26:33"}
|
| 27 |
+
{"current_steps": 260, "total_steps": 1797, "loss": 1.2776, "accuracy": 0.824999988079071, "learning_rate": 9.511649208746768e-06, "epoch": 0.43, "percentage": 14.47, "elapsed_time": "0:34:31", "remaining_time": "3:24:03"}
|
| 28 |
+
{"current_steps": 270, "total_steps": 1797, "loss": 1.3095, "accuracy": 0.7875000238418579, "learning_rate": 9.473280834617975e-06, "epoch": 0.45, "percentage": 15.03, "elapsed_time": "0:35:39", "remaining_time": "3:21:38"}
|
| 29 |
+
{"current_steps": 280, "total_steps": 1797, "loss": 1.3453, "accuracy": 0.8500000238418579, "learning_rate": 9.43354515036451e-06, "epoch": 0.47, "percentage": 15.58, "elapsed_time": "0:36:50", "remaining_time": "3:19:35"}
|
| 30 |
+
{"current_steps": 290, "total_steps": 1797, "loss": 1.3024, "accuracy": 0.8500000238418579, "learning_rate": 9.392454301658734e-06, "epoch": 0.48, "percentage": 16.14, "elapsed_time": "0:38:00", "remaining_time": "3:17:28"}
|
| 31 |
+
{"current_steps": 300, "total_steps": 1797, "loss": 1.3095, "accuracy": 0.8500000238418579, "learning_rate": 9.350020848394722e-06, "epoch": 0.5, "percentage": 16.69, "elapsed_time": "0:39:09", "remaining_time": "3:15:23"}
|
| 32 |
+
{"current_steps": 310, "total_steps": 1797, "loss": 1.1376, "accuracy": 0.862500011920929, "learning_rate": 9.306257760849198e-06, "epoch": 0.52, "percentage": 17.25, "elapsed_time": "0:40:18", "remaining_time": "3:13:19"}
|
| 33 |
+
{"current_steps": 320, "total_steps": 1797, "loss": 1.1728, "accuracy": 0.875, "learning_rate": 9.261178415717006e-06, "epoch": 0.53, "percentage": 17.81, "elapsed_time": "0:41:27", "remaining_time": "3:11:21"}
|
| 34 |
+
{"current_steps": 330, "total_steps": 1797, "loss": 1.1413, "accuracy": 0.887499988079071, "learning_rate": 9.214796592022378e-06, "epoch": 0.55, "percentage": 18.36, "elapsed_time": "0:42:35", "remaining_time": "3:09:22"}
|
| 35 |
+
{"current_steps": 340, "total_steps": 1797, "loss": 1.2402, "accuracy": 0.8374999761581421, "learning_rate": 9.167126466907215e-06, "epoch": 0.57, "percentage": 18.92, "elapsed_time": "0:43:44", "remaining_time": "3:07:25"}
|
| 36 |
+
{"current_steps": 350, "total_steps": 1797, "loss": 1.327, "accuracy": 0.8125, "learning_rate": 9.118182611297665e-06, "epoch": 0.58, "percentage": 19.48, "elapsed_time": "0:44:55", "remaining_time": "3:05:43"}
|
| 37 |
+
{"current_steps": 360, "total_steps": 1797, "loss": 1.1041, "accuracy": 0.925000011920929, "learning_rate": 9.067979985450377e-06, "epoch": 0.6, "percentage": 20.03, "elapsed_time": "0:46:04", "remaining_time": "3:03:56"}
|
| 38 |
+
{"current_steps": 370, "total_steps": 1797, "loss": 1.0528, "accuracy": 0.925000011920929, "learning_rate": 9.016533934379697e-06, "epoch": 0.62, "percentage": 20.59, "elapsed_time": "0:47:13", "remaining_time": "3:02:07"}
|
| 39 |
+
{"current_steps": 380, "total_steps": 1797, "loss": 1.0856, "accuracy": 0.887499988079071, "learning_rate": 8.96386018316731e-06, "epoch": 0.63, "percentage": 21.15, "elapsed_time": "0:48:23", "remaining_time": "3:00:26"}
|
| 40 |
+
{"current_steps": 390, "total_steps": 1797, "loss": 1.2607, "accuracy": 0.8500000238418579, "learning_rate": 8.909974832155667e-06, "epoch": 0.65, "percentage": 21.7, "elapsed_time": "0:49:33", "remaining_time": "2:58:48"}
|
| 41 |
+
{"current_steps": 400, "total_steps": 1797, "loss": 1.1821, "accuracy": 0.875, "learning_rate": 8.854894352026746e-06, "epoch": 0.67, "percentage": 22.26, "elapsed_time": "0:50:43", "remaining_time": "2:57:10"}
|
| 42 |
+
{"current_steps": 400, "total_steps": 1797, "eval_loss": 1.9728976488113403, "epoch": 0.67, "percentage": 22.26, "elapsed_time": "0:55:24", "remaining_time": "3:13:30"}
|
| 43 |
+
{"current_steps": 410, "total_steps": 1797, "loss": 1.2384, "accuracy": 0.862500011920929, "learning_rate": 8.798635578767584e-06, "epoch": 0.68, "percentage": 22.82, "elapsed_time": "0:56:33", "remaining_time": "3:11:18"}
|
| 44 |
+
{"current_steps": 420, "total_steps": 1797, "loss": 1.1389, "accuracy": 0.875, "learning_rate": 8.74121570852417e-06, "epoch": 0.7, "percentage": 23.37, "elapsed_time": "0:57:42", "remaining_time": "3:09:11"}
|
| 45 |
+
{"current_steps": 430, "total_steps": 1797, "loss": 1.0862, "accuracy": 0.887499988079071, "learning_rate": 8.682652292345239e-06, "epoch": 0.72, "percentage": 23.93, "elapsed_time": "0:58:52", "remaining_time": "3:07:09"}
|
| 46 |
+
{"current_steps": 440, "total_steps": 1797, "loss": 1.0189, "accuracy": 0.925000011920929, "learning_rate": 8.622963230817599e-06, "epoch": 0.73, "percentage": 24.49, "elapsed_time": "1:00:01", "remaining_time": "3:05:06"}
|
| 47 |
+
{"current_steps": 450, "total_steps": 1797, "loss": 1.0986, "accuracy": 0.887499988079071, "learning_rate": 8.562166768594592e-06, "epoch": 0.75, "percentage": 25.04, "elapsed_time": "1:01:09", "remaining_time": "3:03:02"}
|
| 48 |
+
{"current_steps": 460, "total_steps": 1797, "loss": 1.25, "accuracy": 0.887499988079071, "learning_rate": 8.500281488819426e-06, "epoch": 0.77, "percentage": 25.6, "elapsed_time": "1:02:19", "remaining_time": "3:01:07"}
|
| 49 |
+
{"current_steps": 470, "total_steps": 1797, "loss": 1.067, "accuracy": 0.9125000238418579, "learning_rate": 8.43732630744501e-06, "epoch": 0.78, "percentage": 26.15, "elapsed_time": "1:03:27", "remaining_time": "2:59:10"}
|
| 50 |
+
{"current_steps": 480, "total_steps": 1797, "loss": 1.0214, "accuracy": 0.8999999761581421, "learning_rate": 8.373320467452069e-06, "epoch": 0.8, "percentage": 26.71, "elapsed_time": "1:04:34", "remaining_time": "2:57:10"}
|
| 51 |
+
{"current_steps": 490, "total_steps": 1797, "loss": 1.0341, "accuracy": 0.925000011920929, "learning_rate": 8.308283532967311e-06, "epoch": 0.82, "percentage": 27.27, "elapsed_time": "1:05:41", "remaining_time": "2:55:12"}
|
| 52 |
+
{"current_steps": 500, "total_steps": 1797, "loss": 0.9832, "accuracy": 0.9125000238418579, "learning_rate": 8.242235383283433e-06, "epoch": 0.83, "percentage": 27.82, "elapsed_time": "1:06:47", "remaining_time": "2:53:15"}
|
| 53 |
+
{"current_steps": 510, "total_steps": 1797, "loss": 1.1563, "accuracy": 0.8999999761581421, "learning_rate": 8.175196206782765e-06, "epoch": 0.85, "percentage": 28.38, "elapsed_time": "1:07:56", "remaining_time": "2:51:26"}
|
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