Model save
Browse files- README.md +3 -18
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- all_results.json +5 -20
- runs/Feb08_14-59-32_uclaml04.cs.ucla.edu/events.out.tfevents.1707433228.uclaml04.cs.ucla.edu.2385848.0 +3 -0
- runs/Feb08_15-01-43_uclaml04.cs.ucla.edu/events.out.tfevents.1707433358.uclaml04.cs.ucla.edu.2386554.0 +3 -0
- runs/Feb08_15-09-49_uclaml04.cs.ucla.edu/events.out.tfevents.1707433845.uclaml04.cs.ucla.edu.2387930.0 +3 -0
- runs/Feb08_15-34-19_uclaml04.cs.ucla.edu/events.out.tfevents.1707435315.uclaml04.cs.ucla.edu.2392295.0 +3 -0
- train_results.json +5 -5
- trainer_state.json +15 -1557
- training_args.bin +2 -2
README.md
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# zephyr-ds
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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: 0.1909
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- Rewards/chosen: -3.7579
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- Rewards/rejected: -6.7356
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- Rewards/accuracies: 0.6940
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- Rewards/margins: 2.9777
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- Logps/rejected: -329.6432
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- Logps/chosen: -319.5546
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- Logits/rejected: -2.7931
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- Logits/chosen: -2.8199
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- Use Label: 12554.0557
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- Pred Label: 19507.9434
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## Model description
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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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- num_devices:
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- gradient_accumulation_steps:
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- total_train_batch_size: 64
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- total_eval_batch_size:
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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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### 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 | Use Label | Pred Label |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:----------:|:----------:|
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| 0.1523 | 1.0 | 955 | 0.1909 | -3.7579 | -6.7356 | 0.6940 | 2.9777 | -329.6432 | -319.5546 | -2.7931 | -2.8199 | 12338.0557 | 18723.9434 |
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### Framework versions
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# zephyr-ds
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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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## Model description
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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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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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: linear
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- lr_scheduler_warmup_ratio: 0.1
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### Training results
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"target_modules": [
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"o_proj",
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],
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"task_type": "CAUSAL_LM"
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"revision": null,
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"target_modules": [
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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all_results.json
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"eval_samples_per_second": 2.337,
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"eval_steps_per_second": 0.292,
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"eval_use_label": 12554.0556640625,
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"train_loss": 0.3070014505486214,
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runs/Feb08_14-59-32_uclaml04.cs.ucla.edu/events.out.tfevents.1707433228.uclaml04.cs.ucla.edu.2385848.0
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runs/Feb08_15-34-19_uclaml04.cs.ucla.edu/events.out.tfevents.1707435315.uclaml04.cs.ucla.edu.2392295.0
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train_results.json
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|
| 22 |
},
|
| 23 |
{
|
| 24 |
"epoch": 1.0,
|
| 25 |
+
"step": 1,
|
| 26 |
"total_flos": 0.0,
|
| 27 |
+
"train_loss": 0.6931471824645996,
|
| 28 |
+
"train_runtime": 27.1859,
|
| 29 |
+
"train_samples_per_second": 2.244,
|
| 30 |
+
"train_steps_per_second": 0.037
|
| 31 |
}
|
| 32 |
],
|
| 33 |
"logging_steps": 10,
|
| 34 |
+
"max_steps": 1,
|
| 35 |
"num_train_epochs": 1,
|
| 36 |
+
"save_steps": 100,
|
| 37 |
"total_flos": 0.0,
|
| 38 |
"trial_name": null,
|
| 39 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d299158ded921c7c4a382f6de9a9047ea7879151db50274c82a74d2f19ddaeb9
|
| 3 |
+
size 4664
|