mohit19906/falcon-7b-instruct-SBCQNAUserAssist

README.md

@@ -15,8 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # working
 
 This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6039
 
 ## Model description
 
@@ -47,60 +45,6 @@ The following hyperparameters were used during training:
 - num_epochs: 50
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 2.7249        | 0.95  | 5    | 2.3111          |
-| 2.4979        | 1.9   | 10   | 2.0912          |
-| 2.291         | 2.86  | 15   | 1.8826          |
-| 1.6598        | 4.0   | 21   | 1.6395          |
-| 1.691         | 4.95  | 26   | 1.4690          |
-| 1.499         | 5.9   | 31   | 1.3555          |
-| 1.3066        | 6.86  | 36   | 1.2151          |
-| 0.866         | 8.0   | 42   | 1.1219          |
-| 0.8635        | 8.95  | 47   | 1.0441          |
-| 0.6727        | 9.9   | 52   | 0.9735          |
-| 0.6457        | 10.86 | 57   | 0.8954          |
-| 0.3947        | 12.0  | 63   | 0.8019          |
-| 0.3888        | 12.95 | 68   | 0.7246          |
-| 0.3304        | 13.9  | 73   | 0.6799          |
-| 0.283         | 14.86 | 78   | 0.6329          |
-| 0.2018        | 16.0  | 84   | 0.6151          |
-| 0.2111        | 16.95 | 89   | 0.6028          |
-| 0.1869        | 17.9  | 94   | 0.5947          |
-| 0.1878        | 18.86 | 99   | 0.5988          |
-| 0.1492        | 20.0  | 105  | 0.6044          |
-| 0.2301        | 20.95 | 110  | 0.5920          |
-| 0.1697        | 21.9  | 115  | 0.5870          |
-| 0.1693        | 22.86 | 120  | 0.5907          |
-| 0.1312        | 24.0  | 126  | 0.5881          |
-| 0.147         | 24.95 | 131  | 0.5789          |
-| 0.1576        | 25.9  | 136  | 0.5820          |
-| 0.1438        | 26.86 | 141  | 0.5897          |
-| 0.1197        | 28.0  | 147  | 0.5965          |
-| 0.1383        | 28.95 | 152  | 0.5937          |
-| 0.1352        | 29.9  | 157  | 0.5904          |
-| 0.1665        | 30.86 | 162  | 0.5907          |
-| 0.1206        | 32.0  | 168  | 0.5899          |
-| 0.1283        | 32.95 | 173  | 0.5996          |
-| 0.1274        | 33.9  | 178  | 0.5972          |
-| 0.1633        | 34.86 | 183  | 0.5933          |
-| 0.1194        | 36.0  | 189  | 0.6019          |
-| 0.1496        | 36.95 | 194  | 0.6017          |
-| 0.1584        | 37.9  | 199  | 0.6002          |
-| 0.1325        | 38.86 | 204  | 0.5975          |
-| 0.1036        | 40.0  | 210  | 0.5976          |
-| 0.128         | 40.95 | 215  | 0.5997          |
-| 0.1234        | 41.9  | 220  | 0.6017          |
-| 0.1234        | 42.86 | 225  | 0.6034          |
-| 0.1056        | 44.0  | 231  | 0.6046          |
-| 0.1326        | 44.95 | 236  | 0.6049          |
-| 0.1301        | 45.9  | 241  | 0.6046          |
-| 0.134         | 46.86 | 246  | 0.6036          |
-| 0.0939        | 47.62 | 250  | 0.6039          |
-
-
 ### Framework versions
 
 - PEFT 0.10.0

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": null,
+  "base_model_name_or_path": "tiiuae/falcon-7b-instruct",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -16,7 +16,7 @@
   "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 16,
+  "r": 8,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [

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training_args.bin

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None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
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wandb/run-20240405_132053-f56jlksk/files/conda-environment.yaml

@@ -0,0 +1,1070 @@
+name: base
+channels:
+  - pytorch
+  - file:///tmp/conda
+  - rapidsai
+  - nvidia
+  - conda-forge
+  - defaults
+dependencies:
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+  - _openmp_mutex=4.5=2_gnu
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+  - async-timeout=4.0.3=pyhd8ed1ab_0
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+  - google-cloud-core=2.4.1=pyhd8ed1ab_0
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+      - docker==7.0.0
+      - docker-pycreds==0.4.0
+      - docopt==0.6.2
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+      - ecos==2.0.13
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+      - farama-notifications==0.0.4
+      - fastai==2.7.14
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+      - gekko==1.1.0
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+      - gitdb==4.0.11
+      - gitpython==3.1.41
+      - google-ai-generativelanguage==0.4.0
+      - google-api-core==2.17.1
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+      - google-apitools==0.5.31
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+      - google-cloud-aiplatform==0.6.0a1
+      - google-cloud-artifact-registry==1.10.0
+      - google-cloud-automl==1.0.1
+      - google-cloud-bigquery==2.34.4
+      - google-cloud-bigtable==1.7.3
+      - google-cloud-dlp==3.14.0
+      - google-cloud-jupyter-config==0.0.5
+      - google-cloud-language==2.13.3
+      - google-cloud-monitoring==2.18.0
+      - google-cloud-pubsub==2.19.0
+      - google-cloud-pubsublite==1.9.0
+      - google-cloud-recommendations-ai==0.7.1
+      - google-cloud-resource-manager==1.11.0
+      - google-cloud-spanner==3.40.1
+      - google-cloud-storage==1.44.0
+      - google-cloud-translate==3.12.1
+      - google-cloud-videointelligence==2.13.3
+      - google-cloud-vision==2.8.0
+      - google-crc32c==1.5.0
+      - google-generativeai==0.4.1
+      - google-pasta==0.2.0
+      - google-resumable-media==2.7.0
+      - gplearn==0.4.2
+      - gpustat==1.0.0
+      - gpxpy==1.6.2
+      - greenlet==3.0.3
+      - grpc-google-iam-v1==0.12.7
+      - grpcio==1.60.0
+      - grpcio-status==1.48.2
+      - gviz-api==1.10.0
+      - gym==0.26.2
+      - gym-notices==0.0.8
+      - gymnasium==0.29.0
+      - h11==0.14.0
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+      - hijri-converter==2.3.1
+      - hmmlearn==0.3.2
+      - holidays==0.24
+      - holoviews==1.18.3
+      - hpsklearn==0.1.0
+      - html5lib==1.1
+      - htmlmin==0.1.12
+      - httpcore==1.0.4
+      - httplib2==0.21.0
+      - httptools==0.6.1
+      - httpx==0.27.0
+      - huggingface-hub==0.21.4
+      - humanfriendly==10.0
+      - hunspell==0.5.5
+      - husl==4.0.3
+      - hydra-slayer==0.5.0
+      - hyperopt==0.2.7
+      - hypertools==0.8.0
+      - igraph==0.11.4
+      - imagecodecs==2024.1.1
+      - imagehash==4.3.1
+      - imageio==2.33.1
+      - imbalanced-learn==0.12.0
+      - imgaug==0.4.0
+      - importlib-metadata==6.11.0
+      - inequality==1.0.1
+      - iniconfig==2.0.0
+      - ipydatawidgets==4.3.5
+      - ipyleaflet==0.18.2
+      - ipympl==0.7.0
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+      - ipyvuetify==1.9.2
+      - ipywebrtc==0.6.0
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+      - isort==5.13.2
+      - isoweek==1.3.3
+      - itsdangerous==2.1.2
+      - janome==0.5.0
+      - jaraco-classes==3.3.0
+      - jax==0.4.23
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+      - jeepney==0.8.0
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+      - jupyter-server-ydoc==0.8.0
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+      - jupyterlab-widgets==3.0.9
+      - jupytext==1.16.0
+      - kaggle==1.6.6
+      - kaggle-environments==1.14.3
+      - kagglehub==0.2.0
+      - keras==3.0.5
+      - keras-cv==0.8.2
+      - keras-nlp==0.8.2
+      - keras-tuner==1.4.6
+      - kernels-mixer==0.0.7
+      - keyring==24.3.0
+      - keyrings-google-artifactregistry-auth==1.1.2
+      - kfp==2.5.0
+      - kfp-pipeline-spec==0.2.2
+      - kfp-server-api==2.0.5
+      - kmapper==2.0.1
+      - kmodes==0.12.2
+      - korean-lunar-calendar==0.3.1
+      - kornia==0.7.2
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+      - kt-legacy==1.0.5
+      - kubernetes==26.1.0
+      - langid==1.1.6
+      - lazy-loader==0.3
+      - learntools==0.3.4
+      - leven==1.0.4
+      - levenshtein==0.25.0
+      - libclang==16.0.6
+      - libpysal==4.9.2
+      - librosa==0.10.1
+      - lightgbm==4.2.0
+      - lightning-utilities==0.10.1
+      - lime==0.2.0.1
+      - line-profiler==4.1.2
+      - linkify-it-py==2.0.3
+      - llvmlite==0.41.1
+      - lml==0.1.0
+      - loguru==0.7.2
+      - lunarcalendar==0.0.9
+      - lxml==5.1.0
+      - mako==1.3.2
+      - mapclassify==2.6.1
+      - markdown==3.5.2
+      - markovify==0.9.4
+      - markupsafe==2.1.5
+      - marshmallow==3.21.1
+      - matplotlib==3.7.5
+      - matplotlib-venn==0.11.10
+      - mccabe==0.7.0
+      - mdit-py-plugins==0.4.0
+      - memory-profiler==0.61.0
+      - mercantile==1.2.1
+      - mgwr==2.2.1
+      - missingno==0.5.2
+      - mistune==0.8.4
+      - mizani==0.11.0
+      - ml-dtypes==0.2.0
+      - mlcrate==0.2.0
+      - mlens==0.2.3
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wandb/run-20240405_132053-f56jlksk/files/requirements.txt

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