Training in progress, step 530
Browse files- README.md +92 -0
- added_tokens.json +24 -0
- all_results.json +23 -0
- config.json +30 -0
- eval_results.json +17 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +27 -0
- tokenizer.json +0 -0
- tokenizer_config.json +196 -0
- train_results.json +9 -0
- trainer_state.json +1900 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
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tags:
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- alignment-handbook
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- ndcg
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- trl
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- expo
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- generated_from_trainer
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- trl
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- expo
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- alignment-handbook
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- ndcg
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- generated_from_trainer
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datasets:
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- hZzy/train_pairwise
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model-index:
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- name: qwen2.5-0.5b-expo-DPO-ES-TRY
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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/zhiyuzha-university-of-florida/huggingface/runs/8qngt5rk)
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# qwen2.5-0.5b-expo-DPO-ES-TRY
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This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on the hZzy/train_pairwise dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8842
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- Logps: -122.3753
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- Logits: -2.2914
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- Objective: 0.9181
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- Dpo Loss: 0.9181
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- Regularize: 0.9181
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- Ranking Simple: 0.5642
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- Ranking Idealized: 0.6046
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- Ranking Idealized Expo: 0.5280
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- Dpo Wo Beta: -6.4269
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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-06
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 6
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- gradient_accumulation_steps: 12
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- total_train_batch_size: 144
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- total_eval_batch_size: 12
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Dpo Loss | Dpo Wo Beta | Logits | Logps | Validation Loss | Objective | Ranking Idealized | Ranking Idealized Expo | Ranking Simple | Regularize |
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|:-------------:|:------:|:----:|:--------:|:-----------:|:-------:|:---------:|:---------------:|:---------:|:-----------------:|:----------------------:|:--------------:|:----------:|
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| 0.5954 | 0.3004 | 53 | 0.7113 | -2.2659 | -1.8928 | -101.3674 | 0.6816 | 0.7113 | 0.5888 | 0.5093 | 0.5238 | 0.7113 |
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| 0.4618 | 0.6009 | 106 | 0.6936 | -2.4624 | -1.9007 | -94.3571 | 0.6913 | 0.6936 | 0.5888 | 0.5093 | 0.5351 | 0.6936 |
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| 0.3986 | 0.9013 | 159 | 0.7215 | -3.1229 | -2.1450 | -95.6001 | 0.7014 | 0.7215 | 0.5888 | 0.5093 | 0.5351 | 0.7215 |
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| 0.2551 | 1.2017 | 212 | 0.7525 | -3.7750 | -2.2678 | -98.1427 | 0.7351 | 0.7525 | 0.5888 | 0.5093 | 0.5372 | 0.7525 |
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| 0.2623 | 1.5021 | 265 | 0.7739 | -4.1634 | -2.1478 | -100.8313 | 0.7400 | 0.7739 | 0.5888 | 0.5093 | 0.5393 | 0.7739 |
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| 0.2571 | 1.8026 | 318 | 0.7665 | -4.0950 | -1.9888 | -102.3712 | 0.7401 | 0.7665 | 0.5888 | 0.5093 | 0.5393 | 0.7665 |
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| 0.1227 | 2.1030 | 371 | 0.9224 | -6.4510 | -1.8645 | -122.0016 | 0.8844 | 0.9224 | 0.5888 | 0.5093 | 0.5424 | 0.9224 |
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| 0.133 | 2.4034 | 424 | 0.8786 | -5.8878 | -2.0277 | -117.1217 | 0.8448 | 0.8786 | 0.5888 | 0.5093 | 0.5413 | 0.8786 |
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| 0.1211 | 2.7085 | 477 | 0.8739 | -5.8152 | -2.0272 | -116.4230 | 0.8371 | 0.8739 | 0.5888 | 0.5093 | 0.5403 | 0.8739 |
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### Framework versions
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- Transformers 4.42.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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added_tokens.json
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{
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"<|vision_start|>": 151652
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}
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all_results.json
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{
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"epoch": 2.9976381672177608,
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"eval_dpo_loss": 0.918109118938446,
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"eval_dpo_wo_beta": -6.42689847946167,
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"eval_logits": -2.2913548946380615,
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"eval_logps": -122.37532806396484,
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"eval_loss": 0.8842386603355408,
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"eval_objective": 0.918109118938446,
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"eval_ranking_idealized": 0.6045548915863037,
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"eval_ranking_idealized_expo": 0.5279502868652344,
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"eval_ranking_simple": 0.5641822218894958,
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"eval_regularize": 0.918109118938446,
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"eval_runtime": 319.8808,
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"eval_samples": 5790,
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"eval_samples_per_second": 18.1,
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"eval_steps_per_second": 1.51,
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"total_flos": 0.0,
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"train_loss": 0.0,
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"train_runtime": 9.3184,
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"train_samples": 50802,
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"train_samples_per_second": 16355.433,
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"train_steps_per_second": 56.662
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}
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config.json
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{
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"_name_or_path": "hZzy/qwen2.5-0.5b-sft-news-IFT",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151644,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 896,
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"initializer_range": 0.02,
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"intermediate_size": 4864,
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"max_position_embeddings": 32768,
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"max_window_layers": 24,
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"model_type": "qwen2",
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"num_attention_heads": 14,
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"num_hidden_layers": 24,
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"num_key_value_heads": 2,
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"pad_token_id": 151645,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.42.0",
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"use_cache": false,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 151665
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}
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eval_results.json
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{
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"epoch": 2.9976381672177608,
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"eval_dpo_loss": 0.918109118938446,
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"eval_dpo_wo_beta": -6.42689847946167,
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"eval_logits": -2.2913548946380615,
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"eval_logps": -122.37532806396484,
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"eval_loss": 0.8842386603355408,
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"eval_objective": 0.918109118938446,
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"eval_ranking_idealized": 0.6045548915863037,
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"eval_ranking_idealized_expo": 0.5279502868652344,
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"eval_ranking_simple": 0.5641822218894958,
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"eval_regularize": 0.918109118938446,
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"eval_runtime": 319.8808,
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"eval_samples": 5790,
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"eval_samples_per_second": 18.1,
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"eval_steps_per_second": 1.51
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}
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generation_config.json
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{
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"bos_token_id": 151644,
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"eos_token_id": 151645,
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"max_new_tokens": 2048,
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"pad_token_id": 151645,
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"transformers_version": "4.42.0"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:54861397bb33df54aeefb71f8632780795a463771984efd19be223d9f17578d4
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size 1975192208
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": {
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"content": "<|im_start|>",
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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": "<|im_end|>",
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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": "<|im_end|>",
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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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tokenizer_config.json
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|
1 |
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{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
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|
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
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|
24 |
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|
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
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|
34 |
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|
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|
36 |
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|
38 |
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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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121 |
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122 |
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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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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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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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|
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|
178 |
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|
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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 |
+
"clean_up_tokenization_spaces": false,
|
189 |
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"eos_token": "<|im_end|>",
|
190 |
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|
191 |
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|
192 |
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|
193 |
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|
194 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
195 |
+
"unk_token": null
|
196 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
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|
1 |
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{
|
2 |
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|
3 |
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|
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|
6 |
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|
7 |
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|
8 |
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"train_steps_per_second": 56.662
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1900 @@
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1 |
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2 |
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4 |
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