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Model: W-61/llama-3-8b-base-epsilon-dpo-hh-helpful-4xh200-batch-64-20260418-001920 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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- epsilon-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-epsilon-dpo-hh-helpful-4xh200-batch-64-20260418-001920
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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-epsilon-dpo-hh-helpful-4xh200-batch-64-20260418-001920
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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: 0.5941
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- Epsilon Dpo/beta: 0.0022
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- Epsilon Dpo/loss Margin Mean: 124.0911
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- Epsilon Dpo/beta Margin Mean: 0.2718
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- Epsilon Dpo/beta Margin Std: 0.4719
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- Epsilon Dpo/beta Margin Grad Mean: -0.4365
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- Epsilon Dpo/beta Margin Grad Std: 0.1083
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- Rewards/chosen: -0.9073
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- Rewards/rejected: -1.1791
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- Rewards/accuracies: 0.7183
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- Rewards/margins: 0.2718
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- Logps/chosen: -487.8939
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- Logps/rejected: -619.7319
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- Logps/ref Chosen: -79.0510
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- Logps/ref Rejected: -86.7979
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- Logits/chosen: 0.9628
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- Logits/rejected: 1.3823
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- Kl/p Epsilon Steps: 0.6956
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- Kl/n Epsilon Steps: 0.3022
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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 | Epsilon Dpo/beta | Epsilon Dpo/loss Margin Mean | Epsilon Dpo/beta Margin Mean | Epsilon Dpo/beta Margin Std | Epsilon Dpo/beta Margin Grad Mean | Epsilon Dpo/beta Margin Grad Std | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected | Kl/p Epsilon Steps | Kl/n Epsilon Steps |
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|:-------------:|:------:|:----:|:---------------:|:----------------:|:----------------------------:|:----------------------------:|:---------------------------:|:---------------------------------:|:--------------------------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|:------------------:|:------------------:|
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| 0.9809 | 0.1468 | 100 | 0.5819 | 0.0612 | 10.0016 | 0.6045 | 1.2197 | -0.3930 | 0.2078 | -0.7143 | -1.3188 | 0.6926 | 0.6045 | -90.6611 | -108.4097 | -79.0510 | -86.7979 | -0.9442 | -0.8901 | 0.6370 | 0.3617 |
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| 0.7763 | 0.2937 | 200 | 0.5340 | 0.0331 | 25.3103 | 0.8303 | 1.4036 | -0.3643 | 0.2158 | -1.1029 | -1.9332 | 0.7149 | 0.8303 | -112.2424 | -145.2996 | -79.0510 | -86.7979 | -0.9108 | -0.8737 | 0.6759 | 0.3232 |
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| 0.7955 | 0.4405 | 300 | 0.4928 | 0.0169 | 54.8226 | 0.9212 | 1.3268 | -0.3414 | 0.2134 | -1.7179 | -2.6391 | 0.7453 | 0.9212 | -180.2318 | -242.8013 | -79.0510 | -86.7979 | -0.4338 | -0.2913 | 0.7282 | 0.2710 |
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| 0.6919 | 0.5874 | 400 | 0.5234 | 0.0084 | 77.8526 | 0.6459 | 0.9831 | -0.3725 | 0.1852 | -1.3445 | -1.9904 | 0.7333 | 0.6459 | -239.2477 | -324.8472 | -79.0510 | -86.7979 | 0.0554 | 0.2763 | 0.7183 | 0.2808 |
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| 0.9214 | 0.7342 | 500 | 0.5470 | 0.0042 | 108.2775 | 0.4514 | 0.6818 | -0.4010 | 0.1444 | -1.4275 | -1.8789 | 0.7487 | 0.4514 | -417.7782 | -533.8026 | -79.0510 | -86.7979 | 0.5317 | 0.8735 | 0.7235 | 0.2753 |
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| 1.0729 | 0.8811 | 600 | 0.5941 | 0.0022 | 124.0911 | 0.2718 | 0.4719 | -0.4365 | 0.1083 | -0.9073 | -1.1791 | 0.7183 | 0.2718 | -487.8939 | -619.7319 | -79.0510 | -86.7979 | 0.9628 | 1.3823 | 0.6956 | 0.3022 |
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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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"epoch": 1.0,
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"eval_epsilon_dpo/beta": 0.00137312151491642,
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"eval_epsilon_dpo/beta_margin_grad_mean": -0.457266241312027,
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"eval_epsilon_dpo/beta_margin_mean": 0.17634743452072144,
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"eval_epsilon_dpo/beta_margin_std": 0.3081098198890686,
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"eval_epsilon_dpo/loss_margin_mean": 129.92251586914062,
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"eval_kl/n_epsilon_steps": 0.3146404027938843,
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"eval_kl/p_epsilon_steps": 0.6840753555297852,
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"eval_logits/chosen": 1.162959337234497,
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"eval_logits/rejected": 1.6319952011108398,
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"eval_logps/chosen": -537.3916015625,
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"eval_logps/rejected": -675.0609741210938,
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"eval_loss": 0.621041476726532,
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"eval_rewards/accuracies": 0.712756872177124,
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"eval_rewards/chosen": -0.6303684711456299,
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"eval_runtime": 43.1088,
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"eval_samples": 2339,
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"eval_samples_per_second": 54.258,
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"eval_steps_per_second": 1.717,
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"total_flos": 0.0,
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"train_loss": 0.8920053139482126,
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"train_runtime": 3235.1211,
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"train_samples": 43598,
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"train_samples_per_second": 13.476,
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"train_steps_per_second": 0.211
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}
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config.json
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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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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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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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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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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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eval_results.json
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23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
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||||
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||||
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|
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||||
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||||
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||||
}
|
||||
}
|
||||
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,
|
||||
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||||
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|
||||
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||||
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||||
}
|
||||
18586
trainer_state.json
Normal file
18586
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user