Initial commit with model files

embeddings.npy

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weather-climate

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+Subproject commit 3dfcf07923f4416d3051af2f88711056700eadcd

weatherPredictionBot_adapter/README.md

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+---
+base_model: climatebert/distilroberta-base-climate-detector
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

weatherPredictionBot_adapter/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "climatebert/distilroberta-base-climate-detector",
+  "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": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value",
+    "key"
+  ],
+  "task_type": "TOKEN_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

weatherPredictionBot_adapter/adapter_model.safetensors

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weatherPredictionBot_adapter/added_tokens.json

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+}

weatherPredictionBot_adapter/config.json

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+{
+    "label_list": [
+        "O",
+        "B-city",
+        "I-city",
+        "B-country_code",
+        "I-country_code",
+        "B-zipcode",
+        "I-zipcode",
+        "B-start_date",
+        "I-start_date",
+        "B-end_date",
+        "I-end_date",
+        "B-time_period",
+        "I-time_period",
+        "B-days",
+        "I-days"
+    ],
+    "label_to_id": {
+        "O": 0,
+        "B-city": 1,
+        "I-city": 2,
+        "B-country_code": 3,
+        "I-country_code": 4,
+        "B-zipcode": 5,
+        "I-zipcode": 6,
+        "B-start_date": 7,
+        "I-start_date": 8,
+        "B-end_date": 9,
+        "I-end_date": 10,
+        "B-time_period": 11,
+        "I-time_period": 12,
+        "B-days": 13,
+        "I-days": 14
+    },
+    "id_to_label": {
+        "0": "O",
+        "1": "B-city",
+        "2": "I-city",
+        "3": "B-country_code",
+        "4": "I-country_code",
+        "5": "B-zipcode",
+        "6": "I-zipcode",
+        "7": "B-start_date",
+        "8": "I-start_date",
+        "9": "B-end_date",
+        "10": "I-end_date",
+        "11": "B-time_period",
+        "12": "I-time_period",
+        "13": "B-days",
+        "14": "I-days"
+    },
+    "training_args": {
+        "output_dir": "./results",
+        "overwrite_output_dir": false,
+        "do_train": false,
+        "do_eval": true,
+        "do_predict": false,
+        "evaluation_strategy": "epoch",
+        "prediction_loss_only": false,
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+        "learning_rate": 2e-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": 3,
+        "max_steps": -1,
+        "lr_scheduler_type": "linear",
+        "warmup_ratio": 0.0,
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+        "log_level": "passive",
+        "log_level_replica": "passive",
+        "log_on_each_node": true,
+        "logging_dir": "./logs",
+        "logging_strategy": "steps",
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+        "dataloader_pin_memory": true,
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+        "hub_model_id": null,
+        "hub_strategy": "every_save",
+        "hub_token": "<HUB_TOKEN>",
+        "hub_private_repo": false,
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+        "include_inputs_for_metrics": false,
+        "fp16_backend": "auto",
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+        "push_to_hub_organization": null,
+        "push_to_hub_token": "<PUSH_TO_HUB_TOKEN>",
+        "mp_parameters": "",
+        "auto_find_batch_size": false,
+        "full_determinism": false,
+        "torchdynamo": null,
+        "ray_scope": "last",
+        "ddp_timeout": 1800,
+        "torch_compile": false,
+        "torch_compile_backend": null,
+        "torch_compile_mode": null
+    },
+    "lora_config": {
+        "r": 8,
+        "lora_alpha": 32,
+        "target_modules": [
+            "query",
+            "value",
+            "key"
+        ],
+        "lora_dropout": 0.1,
+        "bias": "none",
+        "task_type": "TOKEN_CLS"
+    },
+    "model_type": "roberta",
+    "base_model_name": "climatebert/distilroberta-base-climate-detector"
+}

weatherPredictionBot_adapter/special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

weatherPredictionBot_adapter/tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "mask_token": {
+    "__type": "AddedToken",
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 514,
+  "name_or_path": "climatebert/distilroberta-base-climate-detector",
+  "pad_token": {
+    "__type": "AddedToken",
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "special_tokens_map_file": "pre_model/30092021_roberta/special_tokens_map.json",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

weatherPredictionBot_complete/added_tokens.json

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+{
+  "2021": 50347,
+  "2025": 50403,
+  "2030": 50339,
+  "2050": 50401,
+  "Agreement": 50344,
+  "BNP": 50370,
+  "BlackRock": 50480,
+  "CO2": 50365,
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+}

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weatherPredictionBot_complete/tokenizer_config.json

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+  "—": 50430,
+  "‘": 50426,
+  "’": 50267,
+  "“": 50373,
+  "•": 50276,
+  "€": 50303
+}

weatherPredictionBot_tensorflow/config.json

@@ -0,0 +1,55 @@
+{
+    "label_list": [
+        "O",
+        "B-city",
+        "I-city",
+        "B-country_code",
+        "I-country_code",
+        "B-zipcode",
+        "I-zipcode",
+        "B-start_date",
+        "I-start_date",
+        "B-end_date",
+        "I-end_date",
+        "B-time_period",
+        "I-time_period",
+        "B-days",
+        "I-days"
+    ],
+    "label_to_id": {
+        "O": 0,
+        "B-city": 1,
+        "I-city": 2,
+        "B-country_code": 3,
+        "I-country_code": 4,
+        "B-zipcode": 5,
+        "I-zipcode": 6,
+        "B-start_date": 7,
+        "I-start_date": 8,
+        "B-end_date": 9,
+        "I-end_date": 10,
+        "B-time_period": 11,
+        "I-time_period": 12,
+        "B-days": 13,
+        "I-days": 14
+    },
+    "id_to_label": {
+        "0": "O",
+        "1": "B-city",
+        "2": "I-city",
+        "3": "B-country_code",
+        "4": "I-country_code",
+        "5": "B-zipcode",
+        "6": "I-zipcode",
+        "7": "B-start_date",
+        "8": "I-start_date",
+        "9": "B-end_date",
+        "10": "I-end_date",
+        "11": "B-time_period",
+        "12": "I-time_period",
+        "13": "B-days",
+        "14": "I-days"
+    },
+    "model_type": "roberta",
+    "base_model_name": "climatebert/distilroberta-base-climate-detector"
+}

weatherPredictionBot_tensorflow/special_tokens_map.json

@@ -0,0 +1,15 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

weatherPredictionBot_tensorflow/tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ecb0a6274dd4240089538986cdbaa44c0a65ea8778bcf70f395172a94bfe562
+size 327027048

weatherPredictionBot_tensorflow/tokenizer_config.json

@@ -0,0 +1,65 @@
+{
+  "add_prefix_space": true,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "mask_token": {
+    "__type": "AddedToken",
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 514,
+  "name_or_path": "climatebert/distilroberta-base-climate-detector",
+  "pad_token": {
+    "__type": "AddedToken",
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "special_tokens_map_file": "pre_model/30092021_roberta/special_tokens_map.json",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}