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Model: W-61/llama-3-8b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260417-230753 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-helpful-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-helpful-4xh200-batch-64-20260417-230753
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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-helpful-4xh200-batch-64-20260417-230753
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This model is a fine-tuned version of [llama-3-8b-base-sft-hh-helpful-4xh200-batch-64](https://huggingface.co/llama-3-8b-base-sft-hh-helpful-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: 1.7101
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- Beta Dpo/beta: 0.0691
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- Beta Dpo/loss Margin Mean: 86.8606
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- Beta Dpo/beta Margin Mean: 10.0274
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- Beta Dpo/beta Margin Std: 12.8117
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- Beta Dpo/beta Margin Grad Mean: -0.4550
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- Beta Dpo/beta Margin Grad Std: 0.0744
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- Beta Dpo/gap Mean: 130.0152
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- Beta Dpo/gap Std: 165.0541
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- Beta Dpo/beta Used Raw: -2.4893
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- Beta Dpo/beta Used: 0.0691
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- Beta Dpo/mask Keep Frac: 1.0
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- Logits/chosen: -0.2789
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- Logits/rejected: -0.2575
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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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| 0.9552 | 0.1468 | 100 | 0.6786 | 0.0046 | 9.8098 | 0.0725 | 0.1096 | -0.4895 | 0.0167 | 17.6954 | 22.1843 | -0.3731 | 0.0046 | 1.0 | -0.6698 | -0.6418 |
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| 0.8706 | 0.2937 | 200 | 0.6904 | 0.0046 | 27.7458 | 0.2199 | 0.3260 | -0.4903 | 0.0228 | 50.6913 | 68.2433 | -1.2767 | 0.0046 | 1.0 | -0.6064 | -0.5873 |
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| 2.8698 | 0.4405 | 300 | 0.8542 | 0.0215 | 46.8593 | 1.7761 | 2.5216 | -0.4710 | 0.0500 | 79.1242 | 110.1004 | -1.8359 | 0.0215 | 1.0 | -0.4178 | -0.4010 |
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| 18.5063 | 0.5874 | 400 | 0.7607 | 0.0093 | 66.8920 | 1.0762 | 1.4305 | -0.4753 | 0.0447 | 116.2162 | 143.8824 | -2.8595 | 0.0093 | 1.0 | -0.4157 | -0.3938 |
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| 1.1587 | 0.7342 | 500 | 1.3024 | 0.0541 | 78.1021 | 7.2488 | 9.0766 | -0.4557 | 0.0679 | 118.3478 | 142.3098 | -2.3147 | 0.0541 | 1.0 | -0.3590 | -0.3353 |
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| 4.9835 | 0.8811 | 600 | 1.7101 | 0.0691 | 86.8606 | 10.0274 | 12.8117 | -0.4550 | 0.0744 | 130.0152 | 165.0541 | -2.4893 | 0.0691 | 1.0 | -0.2789 | -0.2575 |
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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": 1.0,
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"eval_beta_dpo/beta": 0.011150650680065155,
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"eval_beta_dpo/beta_margin_grad_mean": -0.47102445363998413,
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"eval_beta_dpo/beta_margin_grad_std": 0.049201950430870056,
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"eval_beta_dpo/beta_margin_mean": 1.640921711921692,
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"eval_beta_dpo/beta_margin_std": 2.0729942321777344,
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"eval_beta_dpo/beta_used": 0.011150650680065155,
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"eval_beta_dpo/beta_used_raw": -3.504255771636963,
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"eval_beta_dpo/gap_mean": 147.1534881591797,
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"eval_beta_dpo/gap_std": 168.50018310546875,
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"eval_beta_dpo/loss_margin_mean": 87.08258056640625,
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"eval_beta_dpo/mask_keep_frac": 1.0,
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"eval_logits/chosen": -0.2772989273071289,
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"eval_loss": 0.7894024848937988,
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"eval_runtime": 40.1139,
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"eval_samples": 2339,
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"eval_samples_per_second": 58.309,
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"eval_steps_per_second": 1.845,
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"total_flos": 0.0,
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"train_loss": 2.627565469291942,
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"train_runtime": 3177.7378,
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"train_samples": 43598,
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"train_samples_per_second": 13.72,
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"train_steps_per_second": 0.214
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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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"attention_dropout": 0.0,
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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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"max_position_embeddings": 8192,
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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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{
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"epoch": 1.0,
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"eval_beta_dpo/beta_margin_grad_mean": -0.47102445363998413,
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"eval_beta_dpo/beta_margin_grad_std": 0.049201950430870056,
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"eval_beta_dpo/beta_margin_mean": 1.640921711921692,
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"eval_beta_dpo/beta_margin_std": 2.0729942321777344,
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"eval_beta_dpo/beta_used": 0.011150650680065155,
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"eval_beta_dpo/beta_used_raw": -3.504255771636963,
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"eval_beta_dpo/gap_mean": 147.1534881591797,
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"eval_beta_dpo/gap_std": 168.50018310546875,
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"eval_beta_dpo/loss_margin_mean": 87.08258056640625,
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"eval_beta_dpo/mask_keep_frac": 1.0,
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"eval_steps_per_second": 1.845
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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|>",
|
||||
"lstrip": false,
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||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
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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": 1.0,
|
||||
"total_flos": 0.0,
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||||
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||||
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||||
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|
||||
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|
||||
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||||
}
|
||||
13789
trainer_state.json
Normal file
13789
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user