Model save
Browse files- README.md +87 -0
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- runs/Jul16_14-58-15_node25/events.out.tfevents.1721109533.node25.1416524.0 +2 -2
- train_results.json +8 -0
- trainer_state.json +2146 -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
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- dpo
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- generated_from_trainer
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base_model: openbmb/Eurus-7b-sft
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model-index:
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- name: eurus-dpo-qlora-uf-ours-5e-6
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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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# eurus-dpo-qlora-uf-ours-5e-6
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This model is a fine-tuned version of [openbmb/Eurus-7b-sft](https://huggingface.co/openbmb/Eurus-7b-sft) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.0584
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- Rewards/chosen: -23.3438
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- Rewards/rejected: -32.4235
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- Rewards/accuracies: 0.6280
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- Rewards/margins: 9.0798
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- Rewards/margins Max: 58.3224
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- Rewards/margins Min: -32.8664
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- Rewards/margins Std: 29.5381
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- Logps/rejected: -3499.8743
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- Logps/chosen: -2609.2573
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- Logits/rejected: -0.9160
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- Logits/chosen: -1.0810
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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: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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: 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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.4256 | 0.28 | 100 | 0.8163 | -1.8022 | -1.9583 | 0.5610 | 0.1561 | 2.2049 | -1.8191 | 1.3259 | -453.3455 | -455.0959 | -1.9771 | -2.0751 |
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| 0.1591 | 0.56 | 200 | 1.2122 | -5.0976 | -6.6216 | 0.6050 | 1.5239 | 9.9971 | -4.8753 | 4.8268 | -919.6762 | -784.6454 | -1.3460 | -1.4469 |
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| 0.1126 | 0.85 | 300 | 1.7230 | -6.1628 | -8.5878 | 0.6090 | 2.4250 | 18.9102 | -8.2202 | 8.7236 | -1116.3019 | -891.1599 | -1.2133 | -1.3142 |
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| 0.074 | 1.13 | 400 | 2.0005 | -8.7127 | -11.9396 | 0.6220 | 3.2269 | 20.1537 | -9.9867 | 9.6878 | -1451.4778 | -1146.1495 | -1.3244 | -1.4370 |
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| 0.0551 | 1.41 | 500 | 2.6568 | -10.4325 | -15.1571 | 0.6260 | 4.7246 | 28.6045 | -13.6975 | 13.8040 | -1773.2283 | -1318.1323 | -1.2958 | -1.4257 |
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| 0.169 | 1.69 | 600 | 3.7089 | -14.9797 | -20.5965 | 0.6160 | 5.6168 | 36.0405 | -19.8931 | 18.0728 | -2317.1677 | -1772.8466 | -1.0370 | -1.1529 |
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| 0.0661 | 1.97 | 700 | 4.1957 | -15.9319 | -22.6457 | 0.6220 | 6.7138 | 41.9072 | -22.6906 | 20.9609 | -2522.0879 | -1868.0721 | -1.1163 | -1.2633 |
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| 0.0044 | 2.25 | 800 | 5.9108 | -22.7617 | -31.4584 | 0.6230 | 8.6967 | 56.6380 | -31.9336 | 28.6036 | -3403.3569 | -2551.0461 | -0.9371 | -1.0936 |
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| 0.011 | 2.54 | 900 | 5.9213 | -23.0839 | -32.0567 | 0.6230 | 8.9728 | 56.9548 | -32.0980 | 28.8598 | -3463.1873 | -2583.2671 | -0.9208 | -1.0846 |
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| 0.0138 | 2.82 | 1000 | 6.0584 | -23.3438 | -32.4235 | 0.6280 | 9.0798 | 58.3224 | -32.8664 | 29.5381 | -3499.8743 | -2609.2573 | -0.9160 | -1.0810 |
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 671150064
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version https://git-lfs.github.com/spec/v1
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oid sha256:13bc4c2b1223adb76c88da4dcb6efecd358fb7f4fa4f0432fdc9f710f5eccce8
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size 671150064
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.1413031851636692,
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"train_runtime": 20921.2576,
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"train_samples": 5678,
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"train_samples_per_second": 0.814,
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"train_steps_per_second": 0.051
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}
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runs/Jul16_14-58-15_node25/events.out.tfevents.1721109533.node25.1416524.0
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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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oid sha256:d99ebb9122cec5932be8a593510cda0a6b2e0143e2d56b031f7b939f76503053
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size 108890
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.1413031851636692,
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"train_runtime": 20921.2576,
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"train_samples": 5678,
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"train_samples_per_second": 0.814,
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"train_steps_per_second": 0.051
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 1065,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"grad_norm": 2.3852074765983984,
|
| 14 |
+
"learning_rate": 4.672897196261682e-08,
|
| 15 |
+
"logits/chosen": -2.4213736057281494,
|
| 16 |
+
"logits/rejected": -2.1724228858947754,
|
| 17 |
+
"logps/chosen": -311.7572021484375,
|
| 18 |
+
"logps/rejected": -242.86618041992188,
|
| 19 |
+
"loss": 0.6931,
|
| 20 |
+
"rewards/accuracies": 0.0,
|
| 21 |
+
"rewards/chosen": 0.0,
|
| 22 |
+
"rewards/margins": 0.0,
|
| 23 |
+
"rewards/margins_max": 0.0,
|
| 24 |
+
"rewards/margins_min": 0.0,
|
| 25 |
+
"rewards/margins_std": 0.0,
|
| 26 |
+
"rewards/rejected": 0.0,
|
| 27 |
+
"step": 1
|
| 28 |
+
},
|
| 29 |
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