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Model: W-61/llama-3-8b-base-beta-dpo-hh-harmless-4xh200-batch-64-20260417-233539 Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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base_model: llama-3-8b-base-sft-hh-harmless-4xh200-batch-64
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tags:
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- alignment-handbook
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- beta-dpo
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- generated_from_trainer
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datasets:
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- Anthropic/hh-rlhf
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model-index:
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- name: llama-3-8b-base-beta-dpo-hh-harmless-4xh200-batch-64-20260417-233539
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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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# llama-3-8b-base-beta-dpo-hh-harmless-4xh200-batch-64-20260417-233539
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This model is a fine-tuned version of [llama-3-8b-base-sft-hh-harmless-4xh200-batch-64](https://huggingface.co/llama-3-8b-base-sft-hh-harmless-4xh200-batch-64) on the Anthropic/hh-rlhf dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8203
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- Beta Dpo/beta: 0.1705
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- Beta Dpo/loss Margin Mean: 16.6192
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- Beta Dpo/beta Margin Mean: 3.5151
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- Beta Dpo/beta Margin Std: 4.7567
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- Beta Dpo/beta Margin Grad Mean: -0.3392
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- Beta Dpo/beta Margin Grad Std: 0.2229
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- Beta Dpo/gap Mean: 16.4768
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- Beta Dpo/gap Std: 28.4131
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- Beta Dpo/beta Used Raw: 0.1085
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- Beta Dpo/beta Used: 0.1705
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- Beta Dpo/mask Keep Frac: 1.0
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- Logits/chosen: 0.5021
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- Logits/rejected: 0.4487
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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-07
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- train_batch_size: 8
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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: 4
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Beta Dpo/beta | Beta Dpo/loss Margin Mean | Beta Dpo/beta Margin Mean | Beta Dpo/beta Margin Std | Beta Dpo/beta Margin Grad Mean | Beta Dpo/beta Margin Grad Std | Beta Dpo/gap Mean | Beta Dpo/gap Std | Beta Dpo/beta Used Raw | Beta Dpo/beta Used | Beta Dpo/mask Keep Frac | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:-------------:|:-------------------------:|:-------------------------:|:------------------------:|:------------------------------:|:-----------------------------:|:-----------------:|:----------------:|:----------------------:|:------------------:|:-----------------------:|:-------------:|:---------------:|
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| 1.3014 | 0.1512 | 100 | 0.6391 | 0.1183 | 1.3224 | 0.1789 | 0.4749 | -0.4595 | 0.1057 | 1.0180 | 3.3360 | 0.1183 | 0.1183 | 1.0 | 0.2572 | 0.2207 |
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| 0.9318 | 0.3023 | 200 | 0.5939 | 0.0752 | 9.0802 | 0.8670 | 1.1566 | -0.3975 | 0.1333 | 10.1709 | 15.2637 | 0.0346 | 0.0752 | 1.0 | 0.4250 | 0.3786 |
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| 1.1289 | 0.4535 | 300 | 0.6938 | 0.1151 | 14.7143 | 2.1435 | 2.8181 | -0.3684 | 0.1767 | 15.7264 | 23.2621 | 0.0393 | 0.1151 | 1.0 | 0.5036 | 0.4522 |
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| 1.3777 | 0.6047 | 400 | 0.6486 | 0.0698 | 13.2713 | 1.2326 | 1.6702 | -0.4066 | 0.1228 | 15.5137 | 23.8374 | -0.0345 | 0.0698 | 1.0 | 0.4392 | 0.3876 |
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| 1.1911 | 0.7559 | 500 | 0.6888 | 0.0936 | 16.0572 | 1.9620 | 2.5727 | -0.3866 | 0.1471 | 17.9087 | 28.7161 | -0.0111 | 0.0936 | 1.0 | 0.5027 | 0.4490 |
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| 1.0347 | 0.9070 | 600 | 0.8203 | 0.1705 | 16.6192 | 3.5151 | 4.7567 | -0.3392 | 0.2229 | 16.4768 | 28.4131 | 0.1085 | 0.1705 | 1.0 | 0.5021 | 0.4487 |
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### Framework versions
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- Transformers 4.51.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.21.4
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all_results.json
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{
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"epoch": 0.999244142101285,
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"eval_beta_dpo/beta": 0.09165588766336441,
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"eval_beta_dpo/beta_margin_grad_mean": -0.38951602578163147,
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"eval_beta_dpo/beta_margin_grad_std": 0.142334446310997,
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"eval_beta_dpo/beta_margin_mean": 2.0180046558380127,
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"eval_beta_dpo/beta_margin_std": 2.601975917816162,
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"eval_beta_dpo/beta_used": 0.09165588766336441,
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"eval_beta_dpo/beta_used_raw": -0.021205438300967216,
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"eval_beta_dpo/gap_mean": 18.827608108520508,
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"eval_beta_dpo/gap_std": 28.881866455078125,
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"eval_beta_dpo/loss_margin_mean": 16.80752182006836,
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"eval_beta_dpo/mask_keep_frac": 1.0,
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"eval_logits/chosen": 0.4999350905418396,
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"eval_logits/rejected": 0.4466552138328552,
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"eval_loss": 0.6952157020568848,
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"eval_runtime": 38.7686,
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"eval_samples": 2303,
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"eval_samples_per_second": 59.404,
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"eval_steps_per_second": 1.857,
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"total_flos": 0.0,
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"train_loss": 1.1692889305268401,
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"train_runtime": 3152.686,
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"train_samples": 42336,
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"train_samples_per_second": 13.429,
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"train_steps_per_second": 0.21
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}
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config.json
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"architectures": [
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"LlamaForCausalLM"
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"attention_bias": false,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"rope_scaling": null,
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"torch_dtype": "float32",
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"use_cache": true,
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"vocab_size": 128256
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}
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eval_results.json
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"epoch": 0.999244142101285,
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"eval_beta_dpo/beta_margin_grad_mean": -0.38951602578163147,
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"eval_beta_dpo/beta_margin_grad_std": 0.142334446310997,
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"eval_beta_dpo/beta_margin_mean": 2.0180046558380127,
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"eval_beta_dpo/beta_margin_std": 2.601975917816162,
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"eval_beta_dpo/beta_used": 0.09165588766336441,
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"eval_beta_dpo/beta_used_raw": -0.021205438300967216,
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"eval_beta_dpo/gap_mean": 18.827608108520508,
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"eval_beta_dpo/gap_std": 28.881866455078125,
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"eval_beta_dpo/loss_margin_mean": 16.80752182006836,
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"eval_beta_dpo/mask_keep_frac": 1.0,
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"eval_samples_per_second": 59.404,
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"eval_steps_per_second": 1.857
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}
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||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
|
||||
size 17209961
|
||||
2064
tokenizer_config.json
Normal file
2064
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
9
train_results.json
Normal file
9
train_results.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"epoch": 0.999244142101285,
|
||||
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||||
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|
||||
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|
||||
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||||
}
|
||||
13389
trainer_state.json
Normal file
13389
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user