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Model: jackf857/llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4 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: W-61/llama-3-8b-base-sft-ultrachat-8xh200
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tags:
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- alignment-handbook
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- new-dpo
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4
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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-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4
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This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5983
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- Fcm Dpo/beta: 0.0027
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- Margin Dpo/margin Mean: 105.4011
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- Margin Dpo/margin Std: 182.7466
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- Logps/chosen: -546.8945
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- Logps/rejected: -631.3989
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- Logps/ref Chosen: -287.8268
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- Logps/ref Rejected: -266.9300
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- Kl/chosen Kl Mean: -259.0677
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- Kl/rejected Kl Mean: -364.4689
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- Kl/mean: -311.7683
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- Kl/std: 162.3682
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- Logits/chosen: -0.8539
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- Logits/rejected: -0.8364
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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: 4
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- eval_batch_size: 2
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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: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 8
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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 | Fcm Dpo/beta | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Kl/chosen Kl Mean | Kl/rejected Kl Mean | Kl/mean | Kl/std | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-----------------:|:-------------------:|:---------:|:--------:|:-------------:|:---------------:|
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| 4.9173 | 0.4188 | 200 | 0.5938 | 0.0054 | 55.2587 | 96.2979 | -406.3043 | -440.6663 | -287.8268 | -266.9300 | -118.4775 | -173.7362 | -146.1068 | 87.6889 | -0.9034 | -0.8850 |
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| 4.8145 | 0.8377 | 400 | 0.5983 | 0.0027 | 105.4011 | 182.7466 | -546.8945 | -631.3989 | -287.8268 | -266.9300 | -259.0677 | -364.4689 | -311.7683 | 162.3682 | -0.8539 | -0.8364 |
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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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all_results.json
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{
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"epoch": 0.9989528795811519,
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"eval_KL/chosen_KL_mean": -262.6319580078125,
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"eval_KL/mean": -316.4208679199219,
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"eval_KL/rejected_KL_mean": -370.2097473144531,
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"eval_KL/std": 165.86854553222656,
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"eval_fcm_dpo/beta": 0.0024308497086167336,
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"eval_logits/chosen": -0.846673846244812,
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"eval_logits/rejected": -0.8289116621017456,
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"eval_logps/chosen": -550.458740234375,
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"eval_logps/ref_chosen": -287.8268127441406,
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"eval_logps/ref_rejected": -266.9300231933594,
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"eval_logps/rejected": -637.1398315429688,
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"eval_loss": 0.6021535396575928,
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"eval_margin_dpo/margin_mean": 107.57779693603516,
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"eval_margin_dpo/margin_std": 186.7196807861328,
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"eval_runtime": 78.3489,
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"eval_samples": 2000,
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"eval_samples_per_second": 25.527,
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"eval_steps_per_second": 3.191,
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"total_flos": 0.0,
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"train_loss": 4.88172167052263,
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"train_runtime": 7274.147,
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"train_samples": 61135,
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"train_samples_per_second": 8.404,
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"train_steps_per_second": 0.066
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}
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config.json
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"architectures": [
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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": 128256
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}
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eval_results.json
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"eval_KL/std": 165.86854553222656,
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"eval_fcm_dpo/beta": 0.0024308497086167336,
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"eval_logits/chosen": -0.846673846244812,
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"eval_logits/rejected": -0.8289116621017456,
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"eval_loss": 0.6021535396575928,
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"eval_margin_dpo/margin_mean": 107.57779693603516,
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"eval_margin_dpo/margin_std": 186.7196807861328,
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"eval_runtime": 78.3489,
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"eval_samples_per_second": 25.527,
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"eval_steps_per_second": 3.191
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}
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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": {
|
||||
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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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|
||||
}
|
||||
}
|
||||
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
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||||
size 17209961
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||||
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 @@
|
||||
{
|
||||
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|
||||
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||||
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||||
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|
||||
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||||
}
|
||||
11056
trainer_state.json
Normal file
11056
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:bb01fe9789fb9e948a5f7aad6836f3d3f360ff68497aa2ceb13dbb9cfeb4515c
|
||||
size 8312
|
||||
Reference in New Issue
Block a user