Model save
Browse files- .gitattributes +1 -0
- README.md +79 -0
- all_results.json +9 -0
- config.json +29 -0
- generation_config.json +7 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +261 -0
- runs/Sep22_12-11-01_zizgpu06.cpu.stats.ox.ac.uk/events.out.tfevents.1727003560.zizgpu06.cpu.stats.ox.ac.uk.3873994.0 +3 -0
- special_tokens_map.json +28 -0
- tokenizer.json +3 -0
- tokenizer_config.json +70 -0
- train_results.json +9 -0
- trainer_state.json +1899 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: transformers
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license: gemma
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base_model: google/gemma-7b
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tags:
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- trl
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- orpo
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- generated_from_trainer
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model-index:
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- name: gemma-7b-borpo-low-quality-v3
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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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# gemma-7b-borpo-low-quality-v3
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1095
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- Rewards/chosen: -0.6954
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- Rewards/rejected: -0.8346
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- Rewards/accuracies: 0.5571
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- Rewards/margins: 0.1392
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- Logps/rejected: -1.6692
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- Logps/chosen: -1.3909
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- Logits/rejected: 262.5518
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- Logits/chosen: 319.3429
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- Nll Loss: 1.7836
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- Log Odds Ratio: -0.6395
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- Log Odds Chosen: 0.4455
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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: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: inverse_sqrt
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
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| 1.9721 | 1.0 | 168 | 1.9526 | -0.6072 | -0.7027 | 0.5571 | 0.0955 | -1.4054 | -1.2144 | 282.1215 | 336.2867 | 1.6515 | -0.6573 | 0.2649 |
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| 1.3299 | 2.0 | 336 | 1.9015 | -0.5986 | -0.6805 | 0.5 | 0.0820 | -1.3611 | -1.1972 | 293.2820 | 345.2333 | 1.5933 | -0.6792 | 0.2173 |
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| 0.6266 | 3.0 | 504 | 2.1095 | -0.6954 | -0.8346 | 0.5571 | 0.1392 | -1.6692 | -1.3909 | 262.5518 | 319.3429 | 1.7836 | -0.6395 | 0.4455 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 3.0,
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"total_flos": 0.0,
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"train_loss": 1.593297282854716,
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"train_runtime": 15168.4679,
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"train_samples": 5364,
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"train_samples_per_second": 1.061,
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"train_steps_per_second": 0.033
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}
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config.json
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"architectures": [
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"head_dim": 256,
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"hidden_act": "gelu",
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 24576,
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"max_position_embeddings": 8192,
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"model_type": "gemma",
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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"num_key_value_heads": 16,
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"pad_token_id": 107,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"use_cache": false,
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"vocab_size": 256000
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}
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generation_config.json
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1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
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"best_model_checkpoint": null,
|
4 |
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"epoch": 3.0,
|
5 |
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"eval_steps": 500,
|
6 |
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"global_step": 504,
|
7 |
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"is_hyper_param_search": false,
|
8 |
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"is_local_process_zero": true,
|
9 |
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"is_world_process_zero": true,
|
10 |
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"log_history": [
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11 |
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{
|
12 |
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"epoch": 0.02976190476190476,
|
13 |
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"grad_norm": 1643.52392578125,
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14 |
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"learning_rate": 5.000000000000001e-07,
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15 |
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"log_odds_chosen": -0.34639421105384827,
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16 |
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"log_odds_ratio": -1.0579421520233154,
|
17 |
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