diff --git a/llama2_13b_peft/paragraph_segmentation/README.md b/llama2_13b_peft/paragraph_segmentation/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5d63cc331a367c0986e1e9aa53333bd2232856b2 --- /dev/null +++ b/llama2_13b_peft/paragraph_segmentation/README.md @@ -0,0 +1,94 @@ +--- +license: other +library_name: peft +tags: +- llama-factory +- lora +- generated_from_trainer +base_model: /data1/model/llama2/meta-llama/Llama2-13b +model-index: +- name: paragraph_segmentation_no_sys + results: [] +--- + + + +# paragraph_segmentation_no_sys + +This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the paragraph_segmentation_no_sys dataset. +It achieves the following results on the evaluation set: +- Loss: 0.1180 + +## Model description + +More information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 5e-05 +- train_batch_size: 4 +- eval_batch_size: 4 +- seed: 42 +- distributed_type: multi-GPU +- num_devices: 2 +- total_train_batch_size: 8 +- total_eval_batch_size: 8 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 20 +- num_epochs: 5.0 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | +|:-------------:|:------:|:----:|:---------------:| +| 0.2344 | 0.1170 | 100 | 0.2354 | +| 0.2247 | 0.2339 | 200 | 0.2296 | +| 0.2009 | 0.3509 | 300 | 0.2020 | +| 0.2097 | 0.4678 | 400 | 0.1956 | +| 0.185 | 0.5848 | 500 | 0.1874 | +| 0.1804 | 0.7018 | 600 | 0.1784 | +| 0.1647 | 0.8187 | 700 | 0.1701 | +| 0.1663 | 0.9357 | 800 | 0.1684 | +| 0.1553 | 1.0526 | 900 | 0.1524 | +| 0.1665 | 1.1696 | 1000 | 0.1584 | +| 0.1424 | 1.2865 | 1100 | 0.1660 | +| 0.1163 | 1.4035 | 1200 | 0.1442 | +| 0.1593 | 1.5205 | 1300 | 0.1365 | +| 0.1529 | 1.6374 | 1400 | 0.1444 | +| 0.1321 | 1.7544 | 1500 | 0.1334 | +| 0.135 | 1.8713 | 1600 | 0.1293 | +| 0.1322 | 1.9883 | 1700 | 0.1401 | +| 0.1355 | 2.1053 | 1800 | 0.1292 | +| 0.1227 | 2.2222 | 1900 | 0.1354 | +| 0.1061 | 2.3392 | 2000 | 0.1234 | +| 0.1164 | 2.4561 | 2100 | 0.1263 | +| 0.1038 | 2.5731 | 2200 | 0.1236 | +| 0.1196 | 2.6901 | 2300 | 0.1217 | +| 0.1058 | 2.8070 | 2400 | 0.1206 | +| 0.1177 | 2.9240 | 2500 | 0.1204 | +| 0.1009 | 3.0409 | 2600 | 0.1180 | +| 0.1024 | 3.1579 | 2700 | 0.1185 | +| 0.0953 | 3.2749 | 2800 | 0.1236 | +| 0.0905 | 3.3918 | 2900 | 0.1202 | + + +### Framework versions + +- PEFT 0.10.0 +- Transformers 4.40.0 +- Pytorch 2.2.1 +- Datasets 2.18.0 +- Tokenizers 0.19.1 \ No newline at end of file diff --git a/llama2_13b_peft/paragraph_segmentation/adapter_config.json b/llama2_13b_peft/paragraph_segmentation/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..b36ad376f9ea0b5fdb04d70e360d6df8e9980f80 --- /dev/null +++ b/llama2_13b_peft/paragraph_segmentation/adapter_config.json @@ -0,0 +1,34 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/data1/model/llama2/meta-llama/Llama2-13b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 16, + "lora_dropout": 0.0, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "k_proj", + "gate_proj", + "down_proj", + "o_proj", + "up_proj", + "v_proj", + "q_proj" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git 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0000000000000000000000000000000000000000..d76f5a0478ba3a293951faa6c4f436f457bcc562 --- /dev/null +++ b/llama2_13b_peft/play_dialog_same_or_different/README.md @@ -0,0 +1,73 @@ +--- +license: other +library_name: peft +tags: +- llama-factory +- lora +- generated_from_trainer +base_model: /data1/model/llama2/meta-llama/Llama2-13b +model-index: +- name: play_dialog_same_or_different_no_sys + results: [] +--- + + + +# play_dialog_same_or_different_no_sys + +This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the play_dialog_same_or_different_no_sys dataset. +It achieves the following results on the evaluation set: +- Loss: 0.3175 + +## Model description + +More information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 5e-05 +- train_batch_size: 4 +- eval_batch_size: 4 +- seed: 42 +- distributed_type: multi-GPU +- num_devices: 2 +- total_train_batch_size: 8 +- total_eval_batch_size: 8 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 20 +- num_epochs: 5.0 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | +|:-------------:|:------:|:----:|:---------------:| +| 0.3588 | 0.3215 | 100 | 0.3202 | +| 0.321 | 0.6431 | 200 | 0.3241 | +| 0.3268 | 0.9646 | 300 | 0.3193 | +| 0.34 | 1.2862 | 400 | 0.3250 | +| 0.3221 | 1.6077 | 500 | 0.3175 | +| 0.3193 | 1.9293 | 600 | 0.3194 | +| 0.339 | 2.2508 | 700 | 0.3211 | +| 0.3347 | 2.5723 | 800 | 0.3262 | + + +### Framework versions + +- PEFT 0.10.0 +- Transformers 4.40.0 +- Pytorch 2.2.1 +- Datasets 2.18.0 +- Tokenizers 0.19.1 \ No newline at end of file diff --git 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0.0145 + +## Model description + +More information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 0.0005 +- train_batch_size: 8 +- eval_batch_size: 8 +- seed: 42 +- distributed_type: multi-GPU +- num_devices: 3 +- total_train_batch_size: 24 +- total_eval_batch_size: 24 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 20 +- num_epochs: 10.0 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | +|:-------------:|:-----:|:----:|:---------------:| +| 0.013 | 2.22 | 100 | 0.0138 | +| 0.0034 | 4.44 | 200 | 0.0183 | +| 0.0001 | 6.67 | 300 | 0.0147 | +| 0.0 | 8.89 | 400 | 0.0143 | + + +### Framework versions + +- PEFT 0.9.0 +- Transformers 4.38.2 +- Pytorch 2.2.1 +- Datasets 2.18.0 +- Tokenizers 0.15.2 \ No newline at end of file diff --git a/llama2_13b_peft/question_selection/adapter_config.json b/llama2_13b_peft/question_selection/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..90b1c20c2ec0aec78456689058f96026625ad9d6 --- /dev/null +++ b/llama2_13b_peft/question_selection/adapter_config.json @@ -0,0 +1,33 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/data1/model/llama2/meta-llama/Llama2-13b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 16, + "lora_dropout": 0.0, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 8, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "q_proj", + "v_proj", + "down_proj", + "gate_proj", + "k_proj", + "o_proj", + "up_proj" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/llama2_13b_peft/question_selection/adapter_model.safetensors b/llama2_13b_peft/question_selection/adapter_model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..e7d514fa6137ad0339f4fee489d14d65673deecd --- /dev/null +++ b/llama2_13b_peft/question_selection/adapter_model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:14b62eee50bb68fb7f84fecf1df8e492a6fa0ce84af109e4a47f551691f19426 +size 125248064 diff --git a/llama2_13b_peft/question_selection/all_results.json b/llama2_13b_peft/question_selection/all_results.json new file mode 100644 index 0000000000000000000000000000000000000000..3993178e7ecf27f202949bfae30e333625e82b62 --- /dev/null +++ b/llama2_13b_peft/question_selection/all_results.json @@ -0,0 +1,11 @@ +{ + "epoch": 10.0, + "eval_loss": 0.014549500308930874, + "eval_runtime": 4.8285, + 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b/llama2_13b_peft/question_selection/training_loss.png differ diff --git a/llama2_13b_peft/reasoning_about_colored_objects/README.md b/llama2_13b_peft/reasoning_about_colored_objects/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a2914268474f9d813424a7840e3dfb2022368d58 --- /dev/null +++ b/llama2_13b_peft/reasoning_about_colored_objects/README.md @@ -0,0 +1,69 @@ +--- +license: other +library_name: peft +tags: +- llama-factory +- lora +- generated_from_trainer +base_model: /data1/model/llama2/meta-llama/Llama2-13b +model-index: +- name: reasoning_about_colored_objects_no_sys + results: [] +--- + + + +# reasoning_about_colored_objects_no_sys + +This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the reasoning_about_colored_objects_no_sys dataset. +It achieves the following results on the evaluation set: +- Loss: 0.0522 + +## Model description + +More information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 5e-05 +- train_batch_size: 4 +- eval_batch_size: 4 +- seed: 42 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 20 +- num_epochs: 5.0 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | +|:-------------:|:------:|:----:|:---------------:| +| 0.2126 | 0.2632 | 100 | 0.1725 | +| 0.1793 | 0.5263 | 200 | 0.1547 | +| 0.1496 | 0.7895 | 300 | 0.1156 | +| 0.2432 | 1.0526 | 400 | 0.0812 | +| 0.1287 | 1.3158 | 500 | 0.0522 | +| 0.1829 | 1.5789 | 600 | 0.1413 | +| 0.0235 | 1.8421 | 700 | 0.0713 | +| 0.1101 | 2.1053 | 800 | 0.0611 | + + +### Framework versions + +- PEFT 0.10.0 +- Transformers 4.40.0 +- Pytorch 2.2.1 +- Datasets 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information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 0.0001 +- train_batch_size: 8 +- eval_batch_size: 8 +- seed: 42 +- distributed_type: multi-GPU +- num_devices: 3 +- total_train_batch_size: 24 +- total_eval_batch_size: 24 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 20 +- num_epochs: 10.0 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | +|:-------------:|:-----:|:----:|:---------------:| +| 1.1108 | 0.77 | 50 | 1.1378 | +| 1.0652 | 1.54 | 100 | 1.1236 | +| 0.9679 | 2.31 | 150 | 1.1641 | +| 0.7321 | 3.08 | 200 | 1.3882 | +| 0.5562 | 3.85 | 250 | 1.3443 | +| 0.2699 | 4.62 | 300 | 1.6109 | +| 0.1135 | 5.38 | 350 | 1.9021 | +| 0.0511 | 6.15 | 400 | 2.2162 | +| 0.049 | 6.92 | 450 | 2.0983 | +| 0.0212 | 7.69 | 500 | 2.3844 | +| 0.0107 | 8.46 | 550 | 2.5324 | +| 0.006 | 9.23 | 600 | 2.5657 | +| 0.0131 | 10.0 | 650 | 2.5765 | + + +### Framework versions + +- PEFT 0.9.0 +- Transformers 4.38.2 +- Pytorch 2.2.1 +- Datasets 2.18.0 +- Tokenizers 0.15.2 \ No newline at end of file diff --git a/llama2_13b_peft/strategyqa/adapter_config.json b/llama2_13b_peft/strategyqa/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..2312c477123e66beb0a4a4e3ade3dc7849a6f9d8 --- /dev/null +++ b/llama2_13b_peft/strategyqa/adapter_config.json @@ -0,0 +1,33 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/data1/model/llama2/meta-llama/Llama2-13b", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 16, + "lora_dropout": 0.0, + "megatron_config": null, + 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