Model save
Browse files- README.md +74 -0
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- runs/Apr11_12-13-45_612e66badb5c/events.out.tfevents.1712837726.612e66badb5c.4808.0 +2 -2
- train_results.json +8 -0
- trainer_state.json +497 -0
README.md
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| 1 |
+
---
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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
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- dpo
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- generated_from_trainer
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base_model: alignment-handbook/zephyr-7b-sft-full
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model-index:
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- name: zephyr-dpo-timedial
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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-dpo-timedial
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2236
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- Rewards/chosen: 0.2987
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- Rewards/rejected: -1.0958
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- Rewards/accuracies: 1.0
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- Rewards/margins: 1.3944
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- Logps/rejected: -154.5925
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- Logps/chosen: -0.6286
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- Logits/rejected: -2.7419
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- Logits/chosen: -2.7480
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 4
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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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| 0.3995 | 0.35 | 100 | 0.3705 | 0.2856 | -0.5202 | 1.0 | 0.8058 | -97.0354 | -1.9368 | -2.7815 | -2.7803 |
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| 0.2236 | 0.69 | 200 | 0.2236 | 0.2987 | -1.0958 | 1.0 | 1.3944 | -154.5925 | -0.6286 | -2.7419 | -2.7480 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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adapter_model.safetensors
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size 83946192
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size 83946192
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.36633619635162884,
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"train_runtime": 628.6241,
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| 5 |
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"train_samples": 1157,
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| 6 |
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"train_samples_per_second": 1.841,
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| 7 |
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"train_steps_per_second": 0.46
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}
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runs/Apr11_12-13-45_612e66badb5c/events.out.tfevents.1712837726.612e66badb5c.4808.0
CHANGED
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 26383
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.36633619635162884,
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"train_runtime": 628.6241,
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"train_samples": 1157,
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"train_samples_per_second": 1.841,
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"train_steps_per_second": 0.46
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}
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trainer_state.json
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|
| 1 |
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{
|
| 2 |
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"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.998272884283247,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
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"global_step": 289,
|
| 7 |
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"is_hyper_param_search": false,
|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
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