value-reward-model-opt-350m

README.md

@@ -1,10 +1,11 @@
 ---
 license: other
-base_model: facebook/opt-350m
+library_name: peft
 tags:
 - trl
 - reward-trainer
 - generated_from_trainer
+base_model: facebook/opt-350m
 model-index:
 - name: facebook/opt-350m
   results: []
@@ -35,14 +36,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1.41e-05
-- train_batch_size: 1
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 7
 
 ### Training results
 
@@ -50,7 +49,8 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
+- PEFT 0.11.1
 - Transformers 4.41.2
 - Pytorch 2.1.2
 - Datasets 2.19.2
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

adapter_config.json

@@ -10,7 +10,7 @@
   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
-  "lora_alpha": 32,
+  "lora_alpha": 64,
   "lora_dropout": 0.0,
   "megatron_config": null,
   "megatron_core": "megatron.core",
@@ -20,19 +20,19 @@
     "score"
   ],
   "peft_type": "LORA",
-  "r": 16,
+  "r": 64,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "lm_head",
-    "k_proj",
     "gate_proj",
-    "down_proj",
-    "embed_tokens",
-    "o_proj",
+    "lm_head",
     "up_proj",
-    "q_proj"
+    "q_proj",
+    "embed_tokens",
+    "v_proj",
+    "down_proj",
+    "k_proj",
+    "o_proj"
   ],
   "task_type": "SEQ_CLS",
   "use_dora": false,

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training_args.bin

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+2024-07-21 21:46:45,899 INFO    MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
+2024-07-21 21:46:45,900 INFO    MainThread:34 [wandb_init.py:_pause_backend():431] pausing backend
+2024-07-21 21:50:24,607 INFO    MainThread:34 [wandb_init.py:_resume_backend():436] resuming backend

wandb/run-20240721_142400-5uukvmi3/files/config.yaml

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+batch_eval_metrics:
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+  value: false

wandb/run-20240721_142400-5uukvmi3/files/output.log

@@ -0,0 +1,56 @@
+You're using a GPT2TokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+Could not estimate the number of tokens of the input, floating-point operations will not be computed
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
+  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
+/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.

wandb/run-20240721_142400-5uukvmi3/files/requirements.txt

@@ -0,0 +1,872 @@
+Babel==2.14.0
+Boruta==0.3
+Brotli==1.1.0
+CVXcanon==0.1.2
+Cartopy==0.23.0
+Cython==3.0.8
+Deprecated==1.2.14
+Farama-Notifications==0.0.4
+Flask==3.0.3
+Geohash==1.0
+GitPython==3.1.41
+ImageHash==4.3.1
+Janome==0.5.0
+Jinja2==3.1.2
+LunarCalendar==0.0.9
+Mako==1.3.5
+Markdown==3.5.2
+MarkupSafe==2.1.3
+MarkupSafe==2.1.5
+Pillow==9.5.0
+PuLP==2.8.0
+PyArabic==0.6.15
+PyJWT==2.8.0
+PyMeeus==0.5.12
+PySocks==1.7.1
+PyUpSet==0.1.1.post7
+PyWavelets==1.5.0
+PyYAML==6.0.1
+Pygments==2.17.2
+Pympler==1.0.1
+QtPy==2.4.1
+Rtree==1.2.0
+SQLAlchemy==2.0.25
+SecretStorage==3.3.3
+Send2Trash==1.8.2
+Shapely==1.8.5.post1
+Shimmy==1.3.0
+SimpleITK==2.3.1
+TPOT==0.12.1
+Theano-PyMC==1.1.2
+Theano==1.0.5
+Wand==0.6.13
+Werkzeug==3.0.3
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+accelerate==0.30.1
+access==1.1.9
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+apache-beam==2.46.0
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+beatrix_jupyterlab==2023.128.151533
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+conda-libmamba-solver==23.12.0
+conda-package-handling==2.2.0
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+conda_package_streaming==0.9.0
+confection==0.1.4
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+kaggle==1.6.14
+kagglehub==0.2.5
+keras-cv==0.9.0
+keras-nlp==0.12.1
+keras-tuner==1.4.6
+keras==3.3.3
+kernels-mixer==0.0.7
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+pandocfilters==1.5.0
+panel==1.4.4
+papermill==2.5.0
+param==2.1.0
+parso==0.8.3
+partd==1.4.2
+path.py==12.5.0
+path==16.14.0
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+2024-07-21 21:50:24,607 INFO    MainThread:34 [wandb_init.py:_resume_backend():436] resuming backend