BraylonDash
commited on
Commit
•
5a1daf8
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Parent(s):
2bba83a
Model save
Browse files- README.md +74 -0
- adapter_config.json +28 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +40 -0
- all_results.json +21 -0
- eval_results.json +16 -0
- merges.txt +0 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +325 -0
- train_results.json +8 -0
- trainer_state.json +412 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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library_name: peft
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tags:
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- trl
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- dpo
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- generated_from_trainer
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base_model: microsoft/phi-2
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model-index:
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- name: phi-2-gpo-test-longest-iter-v1-2
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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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# phi-2-gpo-test-longest-iter-v1-2
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0016
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- Rewards/chosen: -0.0008
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- Rewards/rejected: -0.0008
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- Rewards/accuracies: 0.4910
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- Rewards/margins: 0.0001
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- Logps/rejected: -278.6518
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- Logps/chosen: -306.3463
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- Logits/rejected: 0.0888
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- Logits/chosen: -0.0087
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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: 4
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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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- gradient_accumulation_steps: 4
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- total_train_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: 4
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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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| 0.0011 | 1.6 | 100 | 0.0016 | -0.0007 | -0.0008 | 0.4960 | 0.0001 | -278.6544 | -306.3417 | 0.0909 | -0.0073 |
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| 0.0011 | 3.2 | 200 | 0.0016 | -0.0001 | -0.0005 | 0.4925 | 0.0003 | -278.6177 | -306.2834 | 0.0921 | -0.0047 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.14.6
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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": "microsoft/phi-2",
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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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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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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": 32,
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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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"dense",
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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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}
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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:de997ddbd4bcb3150c8d8c0cd2ad29c4a7509d92756c4cbe350e451e4381a94a
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size 41977616
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added_tokens.json
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all_results.json
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{
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"epoch": 3.97,
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"eval_logits/chosen": -0.00874541699886322,
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"eval_logits/rejected": 0.0888209417462349,
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"eval_logps/chosen": -306.3463439941406,
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"eval_logps/rejected": -278.6518249511719,
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"eval_loss": 0.00159652519505471,
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"eval_rewards/accuracies": 0.4909999966621399,
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"eval_rewards/chosen": -0.0007702131988480687,
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"eval_rewards/margins": 5.095174856251106e-05,
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"eval_rewards/rejected": -0.0008211650419980288,
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"eval_runtime": 2003.1713,
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"eval_samples": 2000,
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"eval_samples_per_second": 0.998,
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"eval_steps_per_second": 0.25,
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"train_loss": 0.0010954971686230911,
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"train_runtime": 8408.6931,
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"train_samples": 61135,
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"train_samples_per_second": 0.476,
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"train_steps_per_second": 0.029
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}
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eval_results.json
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{
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"epoch": 3.97,
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"eval_logits/chosen": -0.00874541699886322,
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"eval_logits/rejected": 0.0888209417462349,
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"eval_logps/chosen": -306.3463439941406,
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"eval_logps/rejected": -278.6518249511719,
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"eval_loss": 0.00159652519505471,
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"eval_rewards/accuracies": 0.4909999966621399,
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"eval_rewards/chosen": -0.0007702131988480687,
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"eval_rewards/margins": 5.095174856251106e-05,
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"eval_rewards/rejected": -0.0008211650419980288,
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"eval_runtime": 2003.1713,
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"eval_samples": 2000,
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"eval_samples_per_second": 0.998,
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"eval_steps_per_second": 0.25
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}
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merges.txt
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|endoftext|>",
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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": "<|endoftext|>",
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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": "<|endoftext|>",
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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": "<|endoftext|>",
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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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{
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|
325 |
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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|
1 |
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{
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|
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8 |
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}
|
trainer_state.json
ADDED
@@ -0,0 +1,412 @@
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training_args.bin
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@@ -0,0 +1,3 @@
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vocab.json
ADDED
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