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README.md

@@ -1,9 +1,9 @@
 ---
-license: mit
+license: llama2
 library_name: peft
 tags:
 - generated_from_trainer
-base_model: microsoft/phi-2
+base_model: codellama/CodeLlama-7b-hf
 model-index:
 - name: working
   results: []
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # working
 
-This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
+This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1224
+- Loss: 0.1480
 
 ## Model description
 
@@ -44,23 +44,21 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 20
-- num_epochs: 10
+- num_epochs: 8
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.9283        | 0.99  | 42   | 0.6680          |
-| 0.4333        | 1.98  | 84   | 0.3164          |
-| 0.2286        | 3.0   | 127  | 0.2224          |
-| 0.1812        | 3.99  | 169  | 0.1807          |
-| 0.1508        | 5.0   | 212  | 0.1540          |
-| 0.1373        | 5.99  | 254  | 0.1396          |
-| 0.1261        | 6.98  | 296  | 0.1307          |
-| 0.1157        | 8.0   | 339  | 0.1257          |
-| 0.1128        | 8.99  | 381  | 0.1235          |
-| 0.1097        | 9.91  | 420  | 0.1224          |
+| 2.3229        | 1.0   | 53   | 0.6387          |
+| 0.432         | 1.99  | 106  | 0.3294          |
+| 0.2289        | 2.99  | 159  | 0.2288          |
+| 0.1716        | 3.98  | 212  | 0.1856          |
+| 0.1464        | 5.0   | 266  | 0.1649          |
+| 0.1383        | 6.0   | 319  | 0.1544          |
+| 0.1318        | 6.99  | 372  | 0.1511          |
+| 0.1277        | 7.97  | 424  | 0.1480          |
 
 
 ### Framework versions

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "microsoft/phi-2",
+  "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -19,12 +19,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "fc2",
-    "dense",
-    "k_proj",
-    "q_proj",
     "v_proj",
-    "fc1"
+    "q_proj",
+    "k_proj",
+    "dense",
+    "fc1",
+    "fc2"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1c99c3c683cb967dcaec635dca453a04ea1ffb7af7737cac3718f7d86863b4dd
-size 94422368
+oid sha256:a4ed27e0c01b02d0b1626354d1e92ecfacc9aa148765cc99752e89ac8a69096c
+size 50357464

test.csv

@@ -473,9 +473,9 @@ ideploy/rest/change_ownership,Successful change of ownership from one user to an
 "," when day params is negative
 ","{
 ""days"" : -1
-}","{""status:200,
-  ""result"": ""FAILURE"",
-  ""error"": ""Value of `days` cannot be negative""
+}","{
+""status:200,
+""message"": ""Value of `days` cannot be negative""
 }","def test_license_check_when_day_is_negative(run_api):
     """"""
     license check when day is negative
@@ -484,3 +484,91 @@ ideploy/rest/change_ownership,Successful change of ownership from one user to an
     rjson = r.json()
     test_assert.status(r, 400)
     assert rjson['error'] == ""Value of `days` cannot be negative"", ""The error %s"" % rjson"
+/deploy/rest/deploylist,"getting list of image of deployed machine by setting scope to ""my"". Check the user type before performing the operation, only admin user type have the permission to perform such operations.","{
+scope : ""my""
+}","{
+    ""response"" : success
+}","def test_deploy_list_filter_with_scope_my(run_api, admin_exec_api, library_add_new_vm):
+    """"""
+    filter deploy list using scope = my
+    """"""
+    params, r = library_add_new_vm
+    lib_id = r[""uuid""]
+    r = admin_exec_api.deploy_image(lib_id)
+    deploy_id = r.json()[""uuid""]
+    count = check_count_deploylist(run_api, deploy_id, params={'scope': 'my', 'uuid': deploy_id})
+
+    if run_api.user_type == USER_TYPE['non_admin'] or run_api.user_type == USER_TYPE['manager']:
+        assert count == 0
+    elif run_api.user_type == USER_TYPE['admin']:
+        assert count == 1
+
+    r = admin_exec_api.deploy_image_delete(deploy_id)
+"
+/config/rest/set/,"setting the None value to secret config. Check the user type before performing the operation, only admin user type have the permission to perform such operations.
+","{
+        ""name"": ""secret"",
+        ""value"": None
+}","{
+""status"" : 400,
+""response"" :  'Invalid secret_key Value' 
+}","def test_config_None_set_secret(run_api):
+    """"""
+    Set the secret-key config value as None
+    """"""
+    config_value = {
+        ""name"": ""secret"",
+        ""value"": None
+    }
+    r = run_api.config_set(config_value)
+    res = r.json()
+    if run_api.user_type in [USER_TYPE[""manager""], USER_TYPE[""non_admin""]]:
+        test_assert.status(r, 403)
+    elif run_api.user_type == USER_TYPE['admin']:
+        test_assert.status(r, 400)
+        assert res[""result""] == 'FAILURE'
+        assert 'Invalid secret_key Value' in res[""error""], res
+
+
+"
+/group/rest/add/,"adding new group when group name field is missing. Check the user type before performing the operation, only admin user type have the permission to perform such operations.
+",,"{
+""status"" : 400,
+""message"" : ""Group Name is required and it can not be blank""
+}","def test_add_group_with_group_name_field_missing(run_api):
+    """"""
+    Adding new Group with group name field missing
+    """"""
+    params, r = run_api.group_add(template={})
+    if run_api.user_type in [USER_TYPE[""non_admin""], USER_TYPE[""manager""]]:
+        test_assert.status(r, 403)
+    elif run_api.user_type == USER_TYPE[""admin""]:
+        result = r.json()
+        test_assert.status(r, 400)
+        assert result['error'] == ""Group Name is required and it can not be blank""
+
+"
+/group/rest/update/,"updating the deployment strategy of a group using an invalid value. Check the user type before performing the operation, only admin user type have the permission to perform such operations.
+","{
+        ""name"",
+        ""deployment_strategy"": 'invalid'
+    }","{
+    ""status"" : 400,
+    ""message"" : ""Invalid deployment_strategy""
+}","def test_group_update_invalid_deployment_strategy(skip_if_not_admin, group_add, run_api):
+    """"""
+    group update invalid deployment_strategy
+    """"""
+    params, r = group_add
+    rjson = r.json()
+    group_id = rjson['id']
+    group_param = {
+        ""name"": rjson['name'],
+        ""deployment_strategy"": 'invalid'
+    }
+    updated_param, r = run_api.group_update(group_id, group_param)
+    run_api.user_type == USER_TYPE[""admin""]
+    result = r.json()
+    test_assert.status(r, 400)
+    assert result['error'] == ""Invalid deployment_strategy"", ""|> Json %s"" % result
+"

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bc55ff944b73b9862390b7f0f19680a9c59e25076838e4ec9adeac98b42ab4d4
-size 4728
+oid sha256:6b21fbcf14c560f6c24e2048dd42c5ef7f673e0ff7555030c6b73db5f8d0c711
+size 4664

wandb/debug.log

@@ -1,40 +1,52 @@
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'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': None, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'codellama/CodeLlama-7b-hf', 'transformers_version': '4.36.2', 'model_type': 'llama', 'quantization_config': {'quant_method': 'QuantizationMethod.BITS_AND_BYTES', 'load_in_8bit': False, 'load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': True, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'bnb_4bit_compute_dtype': 'bfloat16'}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'epoch', 'prediction_loss_only': False, 'per_device_train_batch_size': 3, 'per_device_eval_batch_size': 3, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 5, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 5e-05, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 8, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 20, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/', 'logging_strategy': 'epoch', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'epoch', 'save_steps': 500, 'save_total_limit': 5, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'fine-tuning-code-llama', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': {'use_reentrant': False}, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': False, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
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wandb/run-20240403_062721-nxc6ebu6/files/conda-environment.yaml

@@ -0,0 +1,1077 @@
+name: base
+channels:
+  - pytorch
+  - file:///tmp/conda
+  - rapidsai
+  - nvidia
+  - conda-forge
+  - defaults
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+      - datasets==2.15.0
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+      - deepdiff==6.7.1
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+      - distlib==0.3.8
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+      - docker==7.0.0
+      - docker-pycreds==0.4.0
+      - docopt==0.6.2
+      - docstring-parser==0.15
+      - docstring-to-markdown==0.15
+      - docutils==0.20.1
+      - earthengine-api==0.1.391
+      - easydict==1.12
+      - easyocr==1.7.1
+      - ecos==2.0.13
+      - eli5==0.13.0
+      - emoji==2.10.1
+      - en-core-web-lg==3.7.1
+      - en-core-web-sm==3.7.1
+      - ephem==4.1.5
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+      - essentia==2.1b6.dev1110
+      - et-xmlfile==1.1.0
+      - etils==1.6.0
+      - explainable-ai-sdk==1.3.3
+      - farama-notifications==0.0.4
+      - fastai==2.7.14
+      - fastapi==0.108.0
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+      - flake8==7.0.0
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+      - flask==3.0.2
+      - flatbuffers==23.5.26
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+      - fonttools==4.47.0
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+      - future==1.0.0
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+      - gast==0.5.4
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+      - gensim==4.3.2
+      - geographiclib==2.0
+      - geohash==1.0
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+      - geopandas==0.14.3
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+      - giddy==2.3.5
+      - gitdb==4.0.11
+      - gitpython==3.1.41
+      - google-ai-generativelanguage==0.4.0
+      - google-api-core==2.17.1
+      - google-api-python-client==2.118.0
+      - 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==2.13.1
+      - 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==2.13.1
+      - google-cloud-vision==2.8.0
+      - google-crc32c==1.5.0
+      - google-generativeai==0.3.2
+      - 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
+      - h2o==3.44.0.3
+      - h5netcdf==1.3.0
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+      - hdfs==2.7.3
+      - hep-ml==0.7.2
+      - hijri-converter==2.3.1
+      - hmmlearn==0.3.0
+      - 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==0.20.3
+      - humanize==4.9.0
+      - 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
+      - ipython-genutils==0.2.0
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+      - ipyvolume==0.6.3
+      - ipyvue==1.10.1
+      - ipyvuetify==1.8.10
+      - ipywebrtc==0.6.0
+      - ipywidgets==7.7.1
+      - 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
+      - jax-jumpy==1.0.0
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+      - jeepney==0.8.0
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+      - json5==0.9.14
+      - jupyter-client==7.4.9
+      - jupyter-console==6.6.3
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+      - jupyter-server==2.12.5
+      - jupyter-server-fileid==0.9.1
+      - jupyter-server-mathjax==0.2.6
+      - jupyter-server-proxy==4.1.0
+      - jupyter-server-ydoc==0.8.0
+      - jupyter-ydoc==0.2.5
+      - jupyterlab==4.1.2
+      - jupyterlab-git==0.44.0
+      - jupyterlab-lsp==5.0.3
+      - jupyterlab-server==2.25.2
+      - jupyterlab-widgets==3.0.9
+      - jupytext==1.16.0
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wandb/run-20240403_062721-nxc6ebu6/files/output.log

@@ -0,0 +1,7 @@
+
+Training completed in 20052.0159842968 seconds.
+huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+/bin/bash: -c: line 0: syntax error near unexpected token `$'\342\200\230hf_VpVRerFXBYRtmexMlkacOcKDegXZUZrBTwE\342\200\231''

wandb/run-20240403_062721-nxc6ebu6/files/requirements.txt

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