Model save
Browse files- README.md +82 -0
- adapter_config.json +25 -0
- adapter_model.safetensors +3 -0
- all_results.json +21 -0
- eval_results.json +16 -0
- runs/Dec23_06-36-03_ip-172-16-86-203.ec2.internal/events.out.tfevents.1703313736.ip-172-16-86-203.ec2.internal.47042.0 +3 -0
- runs/Dec23_06-36-03_ip-172-16-86-203.ec2.internal/events.out.tfevents.1703356892.ip-172-16-86-203.ec2.internal.47042.1 +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +8 -0
- trainer_state.json +1100 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- trl-dpo
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: zephyr-7b-ipo-lora
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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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# zephyr-7b-ipo-lora
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 18.0888
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- Rewards/chosen: 0.0201
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- Rewards/rejected: -0.1194
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- Rewards/accuracies: 0.7320
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- Rewards/margins: 0.1395
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- Logps/rejected: -212.8609
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- Logps/chosen: -268.5415
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- Logits/rejected: -2.3003
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- Logits/chosen: -2.6873
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 256
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- total_eval_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: linear
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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 | 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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| 19.1303 | 1.0 | 242 | 18.9124 | 0.0302 | -0.0939 | 0.7360 | 0.1241 | -212.6061 | -268.4410 | -2.3029 | -2.6884 |
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| 19.0824 | 2.0 | 484 | 18.2266 | 0.0186 | -0.1163 | 0.7600 | 0.1349 | -212.8297 | -268.5567 | -2.3011 | -2.6877 |
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| 18.0366 | 3.0 | 726 | 18.0888 | 0.0201 | -0.1194 | 0.7320 | 0.1395 | -212.8609 | -268.5415 | -2.3003 | -2.6873 |
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### Framework versions
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- Transformers 4.36.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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## Training procedure
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### Framework versions
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- PEFT 0.6.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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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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"o_proj",
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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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 sha256:738e66fb7a1f8c4673e32ab6bf7f25429395cf50e8aa2862bb87b459869d84b1
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size 218138576
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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": -2.687349796295166,
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"eval_logits/rejected": -2.300260305404663,
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"eval_logps/chosen": -268.54150390625,
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"eval_logps/rejected": -212.86087036132812,
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"eval_loss": 18.088815689086914,
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"eval_rewards/accuracies": 0.7319999933242798,
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"eval_rewards/chosen": 0.02013408951461315,
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"eval_rewards/margins": 0.13951165974140167,
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"eval_rewards/rejected": -0.11937756091356277,
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"eval_runtime": 350.1967,
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"eval_samples": 2000,
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"eval_samples_per_second": 5.711,
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"eval_steps_per_second": 0.714,
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"train_loss": 19.467516181882747,
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"train_runtime": 42806.6761,
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+
"train_samples": 61966,
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"train_samples_per_second": 4.343,
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"train_steps_per_second": 0.017
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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": -2.687349796295166,
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"eval_logits/rejected": -2.300260305404663,
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"eval_logps/chosen": -268.54150390625,
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"eval_logps/rejected": -212.86087036132812,
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"eval_loss": 18.088815689086914,
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"eval_rewards/accuracies": 0.7319999933242798,
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"eval_rewards/chosen": 0.02013408951461315,
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"eval_rewards/margins": 0.13951165974140167,
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"eval_rewards/rejected": -0.11937756091356277,
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"eval_runtime": 350.1967,
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"eval_samples": 2000,
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"eval_samples_per_second": 5.711,
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"eval_steps_per_second": 0.714
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}
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runs/Dec23_06-36-03_ip-172-16-86-203.ec2.internal/events.out.tfevents.1703313736.ip-172-16-86-203.ec2.internal.47042.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a340838bd1336c1af94b66efbe12d1e0d6e9d9232b55f51e61adce493e02824
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size 53240
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runs/Dec23_06-36-03_ip-172-16-86-203.ec2.internal/events.out.tfevents.1703356892.ip-172-16-86-203.ec2.internal.47042.1
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:750d984d6dfce32f30f9208c211925daa36662109b9db7cfea5154b477f1b37d
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size 828
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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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": "</s>",
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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": "</s>",
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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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"unk_token": {
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"content": "<unk>",
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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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See raw diff
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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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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"special": true
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},
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"1": {
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"content": "<s>",
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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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"special": true
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},
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"2": {
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"content": "</s>",
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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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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 19.467516181882747,
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"train_runtime": 42806.6761,
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"train_samples": 61966,
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"train_samples_per_second": 4.343,
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"train_steps_per_second": 0.017
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}
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trainer_state.json
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1091 |
+
"logging_steps": 10,
|
1092 |
+
"max_steps": 726,
|
1093 |
+
"num_input_tokens_seen": 0,
|
1094 |
+
"num_train_epochs": 3,
|
1095 |
+
"save_steps": 500,
|
1096 |
+
"total_flos": 0.0,
|
1097 |
+
"train_batch_size": 1,
|
1098 |
+
"trial_name": null,
|
1099 |
+
"trial_params": null
|
1100 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dcef5bbdb0029b8a95cad5773a8a63ce2c0d87560605567e421e5d172bfb3de9
|
3 |
+
size 4856
|