mnlin task
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- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/args.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/logfile.log +23 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/mnli_bert-base-uncased_validation_loss.png +0 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/README.md +202 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/adapter_config.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/adapter_model.safetensors +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/all_results.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/all_results_val.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/eval_res.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/gpu_stats.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/special_tokens_map.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/tokenizer.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/tokenizer_config.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/val_res.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/vocab.txt +0 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/README.md +202 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/adapter_config.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/adapter_model.safetensors +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/all_results.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/all_results_val.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/eval_res.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/gpu_stats.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/special_tokens_map.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/tokenizer.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/tokenizer_config.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/val_res.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/vocab.txt +0 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/README.md +202 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/adapter_config.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/adapter_model.safetensors +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/all_results.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/all_results_val.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/eval_res.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/gpu_stats.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/special_tokens_map.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/tokenizer.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/tokenizer_config.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/val_res.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/vocab.txt +0 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/README.md +202 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/adapter_config.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/adapter_model.safetensors +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/all_results.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/all_results_val.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/eval_res.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/gpu_stats.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/special_tokens_map.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/tokenizer.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/tokenizer_config.json +3 -0
- outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/val_res.json +3 -0
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/args.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f6d842cd2cb293e86bc5981d659b3a0150b1670a7c0b1feb222aa625300fdb8
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size 934
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/logfile.log
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05/28/2024 01:19:00 - INFO - __main__ - Sample 217445 of the training set: {'input_ids': [101, 1005, 9680, 4263, 6240, 1010, 1005, 1045, 2409, 2014, 1012, 102, 1045, 2409, 2014, 2009, 2001, 2013, 1037, 9680, 4263, 1012, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'labels': 0}.
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05/28/2024 01:19:00 - INFO - __main__ - Sample 151437 of the training set: {'input_ids': [101, 7910, 2292, 1005, 1055, 2156, 2085, 1045, 2228, 2057, 1005, 2128, 2006, 2193, 2809, 2030, 7891, 2057, 1005, 2128, 2471, 2000, 2193, 2702, 1045, 2228, 2138, 1045, 1005, 2310, 2042, 2182, 2702, 2086, 102, 1045, 2031, 2042, 2182, 2146, 2438, 2000, 2113, 2256, 2597, 1012, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'labels': 1}.
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05/28/2024 01:19:00 - INFO - __main__ - Sample 150837 of the training set: {'input_ids': [101, 1999, 1011, 2839, 4933, 1012, 102, 3772, 1037, 2112, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'labels': 0}.
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05/28/2024 01:19:01 - INFO - __main__ - ***** Running training *****
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05/28/2024 01:19:01 - INFO - __main__ - Num examples = 314161
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05/28/2024 01:19:01 - INFO - __main__ - Num Epochs = 3
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05/28/2024 01:19:01 - INFO - __main__ - Instantaneous batch size per device = 32
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05/28/2024 01:19:01 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 32
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05/28/2024 01:19:01 - INFO - __main__ - Gradient Accumulation steps = 1
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05/28/2024 01:19:01 - INFO - __main__ - Total optimization steps = 29454
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05/28/2024 01:19:51 - INFO - __main__ - epoch 0: {'accuracy': 0.3169638308711156}
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05/28/2024 01:27:04 - INFO - __main__ - epoch 0: {'accuracy': 0.36479036426834394}
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05/28/2024 02:02:42 - INFO - __main__ - epoch 0: {'accuracy': 0.7597554763117677}
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05/28/2024 02:10:00 - INFO - __main__ - epoch 0: {'accuracy': 0.7555162271934404}
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05/28/2024 02:45:39 - INFO - __main__ - epoch 1: {'accuracy': 0.7810494141619969}
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05/28/2024 02:52:57 - INFO - __main__ - epoch 1: {'accuracy': 0.7754548579722692}
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05/28/2024 03:28:35 - INFO - __main__ - epoch 1: {'accuracy': 0.7865511971472237}
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05/28/2024 03:35:53 - INFO - __main__ - epoch 1: {'accuracy': 0.782699481799315}
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05/28/2024 04:11:21 - INFO - __main__ - epoch 2: {'accuracy': 0.7938869077941926}
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05/28/2024 04:18:38 - INFO - __main__ - epoch 2: {'accuracy': 0.7905552513973594}
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05/28/2024 04:54:17 - INFO - __main__ - epoch 2: {'accuracy': 0.7981660723382578}
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05/28/2024 05:01:35 - INFO - __main__ - epoch 2: {'accuracy': 0.7916502209037318}
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05/28/2024 05:01:36 - INFO - __main__ - ***** Completed training *****
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/mnli_bert-base-uncased_validation_loss.png
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/README.md
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---
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library_name: peft
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base_model: bert-base-uncased
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/adapter_config.json
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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| 3 |
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size 668
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1195748
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/all_results.json
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 37
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/all_results_val.json
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 38
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/eval_res.json
ADDED
|
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:906e1fd2a20f4073063c696e7c63d64e54316bc0692dd11c1cdaa8551bbd1119
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| 3 |
+
size 2124492
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/gpu_stats.json
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:a317f7d53b80b5758052b09cacb1bdca39abd7a13c17ffdf2140b5434c8366c5
|
| 3 |
+
size 6031
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/special_tokens_map.json
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
|
| 3 |
+
size 125
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
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|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:fa06adf10b0288c8416f63a3dc60480b8f3dd8820212397db6713cdc97f6ae43
|
| 3 |
+
size 711494
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/tokenizer_config.json
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:f62a57a75856b93282501c92a86f62b169997c81e93cf6f75b7cc15d6285968e
|
| 3 |
+
size 1190
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/val_res.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:512d5ba9da99707d8e61b7a21e3674a658c2715c8f9f6bb739cb3d03e9bc49c8
|
| 3 |
+
size 17077296
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_0/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: bert-base-uncased
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/adapter_config.json
ADDED
|
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version https://git-lfs.github.com/spec/v1
|
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oid sha256:81a29a631d083a248a7fe8b5acc0d972f1e62158c7e9d95bdbbeffc2630802a8
|
| 3 |
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size 668
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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size 1195748
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/all_results.json
ADDED
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version https://git-lfs.github.com/spec/v1
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size 37
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/all_results_val.json
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 37
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/eval_res.json
ADDED
|
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 2074143
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/gpu_stats.json
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 6106
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/special_tokens_map.json
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
|
| 3 |
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size 125
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 711494
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/tokenizer_config.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:f62a57a75856b93282501c92a86f62b169997c81e93cf6f75b7cc15d6285968e
|
| 3 |
+
size 1190
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/val_res.json
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:4a9de9f08ed06bccf6f4ddf356c7f2ca1600085b72d3069472f9c9ad1569803b
|
| 3 |
+
size 16682787
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_11780/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: bert-base-uncased
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/adapter_config.json
ADDED
|
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ADDED
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version https://git-lfs.github.com/spec/v1
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ADDED
|
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version https://git-lfs.github.com/spec/v1
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/tokenizer.json
ADDED
|
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|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/tokenizer_config.json
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|
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version https://git-lfs.github.com/spec/v1
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|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/val_res.json
ADDED
|
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version https://git-lfs.github.com/spec/v1
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size 16681035
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_17671/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/README.md
ADDED
|
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: bert-base-uncased
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
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|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
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|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
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- **Model type:** [More Information Needed]
|
| 24 |
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- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
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- **License:** [More Information Needed]
|
| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
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|
| 28 |
+
### Model Sources [optional]
|
| 29 |
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|
| 30 |
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<!-- Provide the basic links for the model. -->
|
| 31 |
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|
| 32 |
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- **Repository:** [More Information Needed]
|
| 33 |
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- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
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[More Information Needed]
|
| 45 |
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|
| 46 |
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### Downstream Use [optional]
|
| 47 |
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|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
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[More Information Needed]
|
| 51 |
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|
| 52 |
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### Out-of-Scope Use
|
| 53 |
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|
| 54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
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|
| 56 |
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[More Information Needed]
|
| 57 |
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|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
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|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
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[More Information Needed]
|
| 63 |
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|
| 64 |
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### Recommendations
|
| 65 |
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|
| 66 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
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|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
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|
| 74 |
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[More Information Needed]
|
| 75 |
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|
| 76 |
+
## Training Details
|
| 77 |
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|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
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|
| 82 |
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[More Information Needed]
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| 83 |
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| 84 |
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### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
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#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
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|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
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[More Information Needed]
|
| 114 |
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|
| 115 |
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#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
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|
| 127 |
+
### Results
|
| 128 |
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|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
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|
| 189 |
+
## More Information [optional]
|
| 190 |
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|
| 191 |
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[More Information Needed]
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| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/adapter_config.json
ADDED
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/adapter_model.safetensors
ADDED
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/all_results.json
ADDED
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/all_results_val.json
ADDED
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/eval_res.json
ADDED
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/gpu_stats.json
ADDED
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@@ -0,0 +1,3 @@
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/special_tokens_map.json
ADDED
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@@ -0,0 +1,3 @@
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/tokenizer.json
ADDED
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/tokenizer_config.json
ADDED
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outputs/mnli/bert-base-uncased_loratrain_val_8_16_0.1_0.0001_65/step_23562/val_res.json
ADDED
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@@ -0,0 +1,3 @@
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