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Jerry46
/
zephyr-7b-dpo-full

Text Generation
Transformers
TensorBoard
Safetensors
llama
Generated from Trainer
conversational
text-generation-inference
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Jerry46 commited on
Commit
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Files changed (11) hide show
  1. README.md +17 -24
  2. all_results.json +18 -18
  3. eval_results.json +14 -14
  4. generation_config.json +6 -3
  5. model-00001-of-00004.safetensors +1 -1
  6. model-00002-of-00004.safetensors +1 -1
  7. model-00003-of-00004.safetensors +1 -1
  8. model-00004-of-00004.safetensors +1 -1
  9. model.safetensors.index.json +292 -292
  10. train_results.json +4 -4
  11. trainer_state.json +0 -0
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
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- license: apache-2.0
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- base_model: alignment-handbook/zephyr-7b-sft-full
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,19 +13,19 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-7b-dpo-full
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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: 0.5274
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- - Rewards/chosen: -0.0838
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- - Rewards/rejected: -1.1574
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- - Rewards/accuracies: 0.7579
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- - Rewards/margins: 1.0735
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- - Logps/rejected: -273.2137
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- - Logps/chosen: -289.3620
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- - Logits/rejected: -2.7815
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- - Logits/chosen: -2.7866
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- - Use Label: 0.0
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- - Pred Label: 0.0
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  ## Model description
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@@ -45,11 +45,12 @@ More information needed
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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: 8
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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: 8
 
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  - total_train_batch_size: 64
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  - total_eval_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -61,15 +62,7 @@ The following hyperparameters were used during training:
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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 |
63
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
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- | 0.6368 | 0.1 | 100 | 0.6040 | 0.1800 | -0.4000 | 0.6746 | 0.5800 | -265.6400 | -286.7236 | -2.8083 | -2.8249 | 0.0 | 0.0 |
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- | 0.558 | 0.21 | 200 | 0.5652 | 0.1323 | -0.7862 | 0.7421 | 0.9186 | -269.5020 | -287.2001 | -2.7981 | -2.8081 | 0.0 | 0.0 |
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- | 0.553 | 0.31 | 300 | 0.5432 | -0.0674 | -1.0423 | 0.7341 | 0.9749 | -272.0630 | -289.1978 | -2.7421 | -2.7517 | 0.0 | 0.0 |
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- | 0.5019 | 0.42 | 400 | 0.5371 | 0.1229 | -0.9260 | 0.7540 | 1.0490 | -270.9003 | -287.2944 | -2.7871 | -2.7961 | 0.0 | 0.0 |
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- | 0.5303 | 0.52 | 500 | 0.5362 | 0.0755 | -0.9534 | 0.7381 | 1.0290 | -271.1743 | -287.7682 | -2.7415 | -2.7495 | 0.0 | 0.0 |
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- | 0.5791 | 0.63 | 600 | 0.5281 | 0.0277 | -1.0275 | 0.7460 | 1.0552 | -271.9149 | -288.2469 | -2.7518 | -2.7595 | 0.0 | 0.0 |
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- | 0.5238 | 0.73 | 700 | 0.5295 | 0.0341 | -1.0667 | 0.7540 | 1.1008 | -272.3072 | -288.1828 | -2.7262 | -2.7338 | 0.0 | 0.0 |
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- | 0.515 | 0.84 | 800 | 0.5258 | -0.0054 | -1.1189 | 0.7540 | 1.1135 | -272.8286 | -288.5772 | -2.7479 | -2.7544 | 0.0 | 0.0 |
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- | 0.5166 | 0.94 | 900 | 0.5273 | -0.0792 | -1.1432 | 0.7619 | 1.0640 | -273.0717 | -289.3157 | -2.7775 | -2.7829 | 0.0 | 0.0 |
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  ### Framework versions
 
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  ---
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+ license: llama3
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+ base_model: meta-llama/Meta-Llama-3-8B
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  tags:
5
  - generated_from_trainer
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  model-index:
 
13
 
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  # zephyr-7b-dpo-full
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4309
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+ - Rewards/chosen: 1.2748
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+ - Rewards/rejected: -0.1475
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+ - Rewards/accuracies: 0.7460
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+ - Rewards/margins: 1.4222
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+ - Logps/rejected: -313.7914
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+ - Logps/chosen: -342.4030
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+ - Logits/rejected: -1.3735
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+ - Logits/chosen: -1.3773
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+ - Use Label: 5751.2222
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+ - Pred Label: 2268.7778
29
 
30
  ## Model description
31
 
 
45
 
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  The following hyperparameters were used during training:
47
  - learning_rate: 5e-07
48
+ - train_batch_size: 4
49
  - eval_batch_size: 4
50
  - seed: 42
51
  - distributed_type: multi-GPU
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  - num_devices: 8
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+ - gradient_accumulation_steps: 2
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  - total_train_batch_size: 64
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  - total_eval_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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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 |
64
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
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+ | 0.4503 | 1.0 | 955 | 0.4309 | 1.2748 | -0.1475 | 0.7460 | 1.4222 | -313.7914 | -342.4030 | -1.3735 | -1.3773 | 5590.2222 | 2177.7778 |
 
 
 
 
 
 
 
 
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  ### Framework versions
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