tengxiao1
commited on
Commit
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Parent(s):
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Browse files- README.md +75 -0
- all_results.json +22 -0
- config.json +29 -0
- eval_results.json +16 -0
- generation_config.json +12 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2063 -0
- train_results.json +9 -0
- trainer_state.json +1453 -0
- training_args.bin +3 -0
README.md
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---
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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tags:
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- alignment_handbook-handbook
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- generated_from_trainer
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datasets:
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- princeton-nlp/llama3-ultrafeedback-armorm
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model-index:
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- name: Meta-Llama-3-8B-Instruct-MI-5e-7
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tengxiao01/huggingface/runs/rjb4skgf)
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# Meta-Llama-3-8B-Instruct-MI-5e-7
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback-armorm dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2118
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- Rewards/chosen: -0.3920
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- Rewards/rejected: -0.5306
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- Rewards/accuracies: 0.7175
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- Rewards/margins: 0.1385
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- Logps/rejected: -0.5306
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- Logps/chosen: -0.3920
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- Logits/rejected: 0.0847
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- Logits/chosen: 0.1025
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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-07
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- train_batch_size: 2
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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- total_eval_batch_size: 16
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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_ratio: 0.1
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- num_epochs: 1
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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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| 1.2128 | 0.8550 | 400 | 1.2118 | -0.3920 | -0.5306 | 0.7175 | 0.1385 | -0.5306 | -0.3920 | 0.0847 | 0.1025 |
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### Framework versions
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- Transformers 4.42.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9982631930527722,
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"eval_logits/chosen": 0.10372808575630188,
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"eval_logits/rejected": 0.08583810925483704,
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"eval_logps/chosen": -0.3924722671508789,
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"eval_logps/rejected": -0.5309580564498901,
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"eval_loss": 1.2116273641586304,
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"eval_rewards/accuracies": 0.7113820910453796,
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"eval_rewards/chosen": -0.3924722671508789,
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"eval_rewards/margins": 0.13848578929901123,
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"eval_rewards/rejected": -0.5309580564498901,
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"eval_runtime": 427.6213,
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"eval_samples": 1961,
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"eval_samples_per_second": 4.586,
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"eval_steps_per_second": 0.288,
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"total_flos": 0.0,
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"train_loss": 1.2289682925385632,
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"train_runtime": 21112.5317,
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"train_samples": 59876,
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"train_samples_per_second": 2.836,
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"train_steps_per_second": 0.022
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}
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config.json
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{
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"_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128009,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.0",
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"use_cache": true,
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"vocab_size": 128256
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}
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eval_results.json
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{
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"eval_loss": 1.2116273641586304,
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"eval_rewards/accuracies": 0.7113820910453796,
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"eval_rewards/chosen": -0.3924722671508789,
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"eval_rewards/margins": 0.13848578929901123,
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"eval_runtime": 427.6213,
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"eval_samples_per_second": 4.586,
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"eval_steps_per_second": 0.288
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}
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generation_config.json
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{
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"do_sample": true,
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"eos_token_id": [
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"max_length": 4096,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.42.0"
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}
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model-00001-of-00004.safetensors
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model-00002-of-00004.safetensors
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model-00003-of-00004.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
ADDED
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tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"128000": {
|
4 |
+
"content": "<|begin_of_text|>",
|
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 |
+
"content": "<|end_of_text|>",
|
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 |
+
},
|
19 |
+
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|
20 |
+
"content": "<|reserved_special_token_0|>",
|
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 |
+
},
|
27 |
+
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|
28 |
+
"content": "<|reserved_special_token_1|>",
|
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 |
+
},
|
35 |
+
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|
36 |
+
"content": "<|reserved_special_token_2|>",
|
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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"content": "<|reserved_special_token_3|>",
|
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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"content": "<|start_header_id|>",
|
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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"content": "<|end_header_id|>",
|
61 |
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|
62 |
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|
63 |
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|
64 |
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|
65 |
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|
66 |
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|
67 |
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|
68 |
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|
69 |
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|
70 |
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|
71 |
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|
72 |
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|
73 |
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|
74 |
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|
75 |
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|
76 |
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|
77 |
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|
78 |
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|
79 |
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|
80 |
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|
81 |
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|
82 |
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|
83 |
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|
84 |
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|
85 |
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|
86 |
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|
87 |
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|
88 |
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|
89 |
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|
90 |
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|
91 |
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|
92 |
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|
93 |
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|
94 |
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|
95 |
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|
96 |
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|
97 |
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|
98 |
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|
99 |
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|
100 |
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|
101 |
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|
102 |
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|
103 |
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|
104 |
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|
105 |
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|
106 |
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|
107 |
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|
108 |
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|
109 |
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|
110 |
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|
111 |
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|
112 |
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|
113 |
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|
114 |
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|
115 |
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|
116 |
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|
117 |
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|
118 |
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|
119 |
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|
120 |
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|
121 |
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|
122 |
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|
123 |
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|
124 |
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|
125 |
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|
126 |
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|
127 |
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|
128 |
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|
129 |
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|
130 |
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|
131 |
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|
132 |
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|
133 |
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|
134 |
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|
135 |
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136 |
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|
137 |
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|
138 |
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|
139 |
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|
140 |
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|
141 |
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142 |
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|
143 |
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|
144 |
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|
145 |
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|
146 |
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|
147 |
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|
148 |
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|
149 |
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|
150 |
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|
151 |
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|
152 |
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|
153 |
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|
154 |
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|
155 |
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|
156 |
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|
157 |
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158 |
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|
159 |
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|
160 |
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161 |
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|
162 |
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163 |
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|
164 |
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|
165 |
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166 |
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|
167 |
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|
168 |
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|
169 |
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|
170 |
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|
171 |
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|
172 |
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|
173 |
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|
174 |
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|
175 |
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|
176 |
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177 |
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178 |
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179 |
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|
180 |
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|
181 |
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182 |
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183 |
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184 |
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185 |
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186 |
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187 |
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|
188 |
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|
189 |
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190 |
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191 |
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192 |
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193 |
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194 |
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195 |
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|
196 |
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|
197 |
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|
198 |
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|
199 |
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|
200 |
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201 |
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|
202 |
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|
203 |
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|
204 |
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|
205 |
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206 |
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|
207 |
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|
208 |
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209 |
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210 |
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|
211 |
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|
212 |
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|
213 |
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|
214 |
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|
215 |
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|
216 |
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217 |
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218 |
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|
219 |
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|
220 |
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|
221 |
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222 |
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223 |
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224 |
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225 |
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226 |
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|
227 |
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|
228 |
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|
229 |
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|
230 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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|
235 |
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|
236 |
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|
237 |
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|
238 |
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|
239 |
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|
240 |
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|
241 |
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242 |
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|
243 |
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|
244 |
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|
245 |
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246 |
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|
247 |
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248 |
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249 |
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250 |
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251 |
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|
252 |
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|
253 |
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254 |
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255 |
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256 |
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257 |
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258 |
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259 |
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|
260 |
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|
261 |
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262 |
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263 |
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264 |
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265 |
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266 |
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267 |
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|
268 |
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|
269 |
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|
270 |
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271 |
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272 |
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274 |
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|
276 |
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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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288 |
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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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|
294 |
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|
295 |
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296 |
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297 |
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298 |
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|
299 |
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|
300 |
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|
301 |
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|
302 |
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304 |
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305 |
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|
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312 |
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313 |
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314 |
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315 |
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|
316 |
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|
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322 |
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|
324 |
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|
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328 |
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329 |
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330 |
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331 |
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|
332 |
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|
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336 |
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346 |
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|
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1747 |
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|
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|
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|
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|
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1844 |
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|
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|
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|
1988 |
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|
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|
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|
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|
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|
1994 |
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|
1996 |
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|
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|
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|
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|
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|
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},
|
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|
2004 |
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|
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|
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|
2008 |
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|
2009 |
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|
2010 |
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},
|
2011 |
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"128251": {
|
2012 |
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"content": "<|reserved_special_token_246|>",
|
2013 |
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|
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|
2015 |
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|
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|
2017 |
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|
2018 |
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},
|
2019 |
+
"128252": {
|
2020 |
+
"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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|
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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},
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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 |
+
"special": true
|
2050 |
+
}
|
2051 |
+
},
|
2052 |
+
"bos_token": "<|begin_of_text|>",
|
2053 |
+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
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": 2048,
|
2061 |
+
"pad_token": "<|eot_id|>",
|
2062 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
2063 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
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|
1 |
+
{
|
2 |
+
"epoch": 0.9982631930527722,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 1.2289682925385632,
|
5 |
+
"train_runtime": 21112.5317,
|
6 |
+
"train_samples": 59876,
|
7 |
+
"train_samples_per_second": 2.836,
|
8 |
+
"train_steps_per_second": 0.022
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1453 @@
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1 |
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