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Model: W-61/mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64 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: mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332
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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: mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332
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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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# mistral-7b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260418-015332
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This model is a fine-tuned version of [mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332](https://huggingface.co/mistral-7b-base-sft-hh-helpful-4xh200-batch-64-20260418-015332) on the Anthropic/hh-rlhf dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6015
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- Beta Dpo/beta: 0.0010
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- Beta Dpo/loss Margin Mean: 243.4043
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- Beta Dpo/beta Margin Mean: 0.2434
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- Beta Dpo/beta Margin Std: 0.4217
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- Beta Dpo/beta Margin Grad Mean: -0.4422
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- Beta Dpo/beta Margin Grad Std: 0.0983
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- Beta Dpo/gap Mean: 404.4037
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- Beta Dpo/gap Std: 357.4069
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- Beta Dpo/beta Used Raw: -9.5600
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- Beta Dpo/beta Used: 0.0010
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- Beta Dpo/mask Keep Frac: 1.0
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- Logits/chosen: -2.7813
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- Logits/rejected: -2.8108
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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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| 1.3346 | 0.1468 | 100 | 0.7825 | 0.0211 | 38.6966 | 1.4685 | 2.0475 | -0.4727 | 0.0403 | 60.6513 | 63.8526 | -1.2173 | 0.0211 | 1.0 | -2.9129 | -2.9033 |
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| 1.265 | 0.2937 | 200 | 1.2116 | 0.0416 | 108.9061 | 8.0746 | 10.4591 | -0.4594 | 0.0608 | 175.9197 | 183.7102 | -3.9208 | 0.0416 | 1.0 | -2.3116 | -2.3059 |
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| 0.5857 | 0.4405 | 300 | 0.6708 | 0.0032 | 165.3890 | 0.8039 | 1.0106 | -0.4553 | 0.0715 | 284.4015 | 265.4041 | -7.0408 | 0.0032 | 1.0 | -2.3951 | -2.3756 |
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| 3.7878 | 0.5874 | 400 | 0.6122 | 0.0010 | 205.4126 | 0.2054 | 0.3571 | -0.4506 | 0.0845 | 362.1024 | 333.2912 | -9.3014 | 0.0010 | 1.0 | -2.4431 | -2.4332 |
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| 6.7444 | 0.7342 | 500 | 0.6026 | 0.0010 | 233.9227 | 0.2339 | 0.3910 | -0.4441 | 0.0919 | 390.5113 | 345.8571 | -9.2953 | 0.0010 | 1.0 | -2.6421 | -2.6564 |
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| 0.5388 | 0.8811 | 600 | 0.6015 | 0.0010 | 243.4043 | 0.2434 | 0.4217 | -0.4422 | 0.0983 | 404.4037 | 357.4069 | -9.5600 | 0.0010 | 1.0 | -2.7813 | -2.8108 |
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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": 0.0010000000474974513,
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"eval_beta_dpo/beta_margin_grad_mean": -0.44149303436279297,
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"eval_beta_dpo/beta_margin_grad_std": 0.09785857796669006,
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"eval_beta_dpo/beta_margin_mean": 0.24613134562969208,
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"eval_beta_dpo/beta_margin_std": 0.41966694593429565,
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"eval_beta_dpo/beta_used": 0.0010000000474974513,
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"eval_beta_dpo/beta_used_raw": -10.40408706665039,
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"eval_beta_dpo/gap_mean": 421.1994323730469,
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"eval_beta_dpo/gap_std": 381.64532470703125,
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"eval_beta_dpo/loss_margin_mean": 246.13131713867188,
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"eval_beta_dpo/mask_keep_frac": 1.0,
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"eval_logits/chosen": -2.795379400253296,
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"eval_loss": 0.6000753045082092,
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"eval_runtime": 37.6049,
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"eval_samples": 2339,
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"eval_samples_per_second": 62.199,
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"eval_steps_per_second": 1.968,
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"total_flos": 0.0,
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"train_loss": 4.511853932745809,
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"train_runtime": 2770.5528,
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"train_samples": 43598,
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"train_samples_per_second": 15.736,
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"train_steps_per_second": 0.246
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}
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config.json
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"architectures": [
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"MistralForCausalLM"
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"attention_dropout": 0.0,
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"head_dim": 128,
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"hidden_act": "silu",
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"model_type": "mistral",
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.51.0",
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"use_cache": true,
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"vocab_size": 32768
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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_std": 0.09785857796669006,
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"eval_beta_dpo/beta_margin_std": 0.41966694593429565,
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"eval_beta_dpo/beta_used": 0.0010000000474974513,
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"eval_beta_dpo/beta_used_raw": -10.40408706665039,
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"eval_beta_dpo/mask_keep_frac": 1.0,
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"eval_samples_per_second": 62.199,
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"eval_steps_per_second": 1.968
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}
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||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": 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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|
||||
},
|
||||
"pad_token": {
|
||||
"content": "</s>",
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||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"unk_token": {
|
||||
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|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
275733
tokenizer.json
Normal file
275733
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
||||
size 587404
|
||||
6188
tokenizer_config.json
Normal file
6188
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,
|
||||
"train_loss": 4.511853932745809,
|
||||
"train_runtime": 2770.5528,
|
||||
"train_samples": 43598,
|
||||
"train_samples_per_second": 15.736,
|
||||
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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