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- cluster0_batch16_prop1.0_langen/checkpoint-16/README.md +202 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/adapter_config.json +32 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/adapter_model.safetensors +3 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/optimizer.pt +3 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/rng_state.pth +3 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/scheduler.pt +3 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/special_tokens_map.json +30 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/tokenizer.json +0 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/tokenizer_config.json +139 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/trainer_state.json +93 -0
- cluster0_batch16_prop1.0_langen/checkpoint-16/training_args.bin +3 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/README.md +202 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/adapter_config.json +32 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/adapter_model.safetensors +3 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/optimizer.pt +3 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/rng_state.pth +3 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/scheduler.pt +3 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/special_tokens_map.json +30 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/tokenizer.json +0 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/tokenizer_config.json +139 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/trainer_state.json +93 -0
- cluster0_batch16_prop1.0_langen/checkpoint-17/training_args.bin +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/README.md +202 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/adapter_config.json +32 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/adapter_model.safetensors +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/optimizer.pt +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/rng_state.pth +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/scheduler.pt +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/special_tokens_map.json +30 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/tokenizer.json +0 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/tokenizer_config.json +140 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/trainer_state.json +153 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-35/training_args.bin +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/README.md +202 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/adapter_config.json +32 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/adapter_model.safetensors +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/optimizer.pt +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/rng_state.pth +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/scheduler.pt +3 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/special_tokens_map.json +30 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/tokenizer.json +0 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/tokenizer_config.json +140 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/trainer_state.json +48 -0
- cluster0_batch16_prop1.0_langfr/checkpoint-4/training_args.bin +3 -0
- cluster0_batch16_prop1.0_langger/checkpoint-16/README.md +202 -0
- cluster0_batch16_prop1.0_langger/checkpoint-16/adapter_config.json +32 -0
- cluster0_batch16_prop1.0_langger/checkpoint-16/adapter_model.safetensors +3 -0
- cluster0_batch16_prop1.0_langger/checkpoint-16/optimizer.pt +3 -0
- cluster0_batch16_prop1.0_langger/checkpoint-16/rng_state.pth +3 -0
- cluster0_batch16_prop1.0_langger/checkpoint-16/scheduler.pt +3 -0
cluster0_batch16_prop1.0_langen/checkpoint-16/README.md
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| 1 |
+
---
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| 2 |
+
base_model: microsoft/Phi-3-mini-4k-instruct
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| 3 |
+
library_name: peft
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| 4 |
+
---
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| 5 |
+
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| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
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| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
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| 20 |
+
- **Developed by:** [More Information Needed]
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| 21 |
+
- **Funded by [optional]:** [More Information Needed]
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| 22 |
+
- **Shared by [optional]:** [More Information Needed]
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| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 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 |
+
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| 88 |
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#### Preprocessing [optional]
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| 89 |
+
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| 90 |
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[More Information Needed]
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| 91 |
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|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
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| 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]
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| 98 |
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| 99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
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| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
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| 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 |
+
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| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 124 |
+
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| 125 |
+
[More Information Needed]
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| 126 |
+
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| 127 |
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### Results
|
| 128 |
+
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| 129 |
+
[More Information Needed]
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| 130 |
+
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| 131 |
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#### Summary
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| 132 |
+
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| 133 |
+
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| 134 |
+
|
| 135 |
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## 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]
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| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
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| 156 |
+
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| 157 |
+
[More Information Needed]
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| 158 |
+
|
| 159 |
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### Compute Infrastructure
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| 160 |
+
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| 161 |
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[More Information Needed]
|
| 162 |
+
|
| 163 |
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#### Hardware
|
| 164 |
+
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| 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 |
+
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| 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 |
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## More Information [optional]
|
| 190 |
+
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| 191 |
+
[More Information Needed]
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| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
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| 195 |
+
[More Information Needed]
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| 196 |
+
|
| 197 |
+
## Model Card Contact
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| 198 |
+
|
| 199 |
+
[More Information Needed]
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| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
cluster0_batch16_prop1.0_langen/checkpoint-16/adapter_config.json
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| 1 |
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{
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| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": null,
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| 4 |
+
"base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
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| 5 |
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"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
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| 12 |
+
"loftq_config": {
|
| 13 |
+
"loftq_bits": 4,
|
| 14 |
+
"loftq_iter": 1
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| 15 |
+
},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
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"peft_type": "LORA",
|
| 22 |
+
"r": 4,
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| 23 |
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"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
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"o_proj",
|
| 27 |
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"qkv_proj"
|
| 28 |
+
],
|
| 29 |
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"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
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| 32 |
+
}
|
cluster0_batch16_prop1.0_langen/checkpoint-16/adapter_model.safetensors
ADDED
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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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cluster0_batch16_prop1.0_langen/checkpoint-16/tokenizer_config.json
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| 78 |
+
"TrainerControl": {
|
| 79 |
+
"args": {
|
| 80 |
+
"should_epoch_stop": false,
|
| 81 |
+
"should_evaluate": false,
|
| 82 |
+
"should_log": false,
|
| 83 |
+
"should_save": true,
|
| 84 |
+
"should_training_stop": false
|
| 85 |
+
},
|
| 86 |
+
"attributes": {}
|
| 87 |
+
}
|
| 88 |
+
},
|
| 89 |
+
"total_flos": 8.83811626278912e+16,
|
| 90 |
+
"train_batch_size": 16,
|
| 91 |
+
"trial_name": null,
|
| 92 |
+
"trial_params": null
|
| 93 |
+
}
|
cluster0_batch16_prop1.0_langen/checkpoint-16/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d876055313a717d2095a237f6a831d87252255ef527b7b75bfe7dadb79374bb7
|
| 3 |
+
size 5624
|
cluster0_batch16_prop1.0_langen/checkpoint-17/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: microsoft/Phi-3-mini-4k-instruct
|
| 3 |
+
library_name: peft
|
| 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 0.13.2
|
cluster0_batch16_prop1.0_langen/checkpoint-17/adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {
|
| 13 |
+
"loftq_bits": 4,
|
| 14 |
+
"loftq_iter": 1
|
| 15 |
+
},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 4,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"o_proj",
|
| 27 |
+
"qkv_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
cluster0_batch16_prop1.0_langen/checkpoint-17/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:e0278c2ba01e3ad008951725555e6f7e378c8d106182279bf3fd927341736c7a
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| 3 |
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size 9454176
|
cluster0_batch16_prop1.0_langen/checkpoint-17/optimizer.pt
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 4943546
|
cluster0_batch16_prop1.0_langen/checkpoint-17/rng_state.pth
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:e1d95eee83ce415302819025c8e8b5aca8c288c84bfb9ba462e72569fe8450a9
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| 3 |
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size 14244
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cluster0_batch16_prop1.0_langen/checkpoint-17/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:4361bd413ec5a87c7dfd652089f4b23c8fabc62b257574cbf6fe71d1b80db5dc
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| 3 |
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size 1064
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cluster0_batch16_prop1.0_langen/checkpoint-17/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
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| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
+
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|
| 15 |
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|
| 16 |
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|
| 17 |
+
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
cluster0_batch16_prop1.0_langen/checkpoint-17/tokenizer.json
ADDED
|
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|
|
cluster0_batch16_prop1.0_langen/checkpoint-17/tokenizer_config.json
ADDED
|
@@ -0,0 +1,139 @@
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| 136 |
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"tokenizer_class": "LlamaTokenizer",
|
| 137 |
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|
| 139 |
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|
cluster0_batch16_prop1.0_langen/checkpoint-17/trainer_state.json
ADDED
|
@@ -0,0 +1,93 @@
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cluster0_batch16_prop1.0_langen/checkpoint-17/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:d876055313a717d2095a237f6a831d87252255ef527b7b75bfe7dadb79374bb7
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| 3 |
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size 5624
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cluster0_batch16_prop1.0_langfr/checkpoint-35/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: microsoft/Phi-3-mini-4k-instruct
|
| 3 |
+
library_name: peft
|
| 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 0.14.0
|
cluster0_batch16_prop1.0_langfr/checkpoint-35/adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 16,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 4,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"qkv_proj",
|
| 27 |
+
"o_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
cluster0_batch16_prop1.0_langfr/checkpoint-35/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ed5880ac2d7949fc05d221c363d8060fd6ff12630256e5f7d69bd90377372486
|
| 3 |
+
size 9454176
|
cluster0_batch16_prop1.0_langfr/checkpoint-35/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:64a43baaea85ece1bf0ff78abcfd0beee41952b70f09574fc1cc551ceacea11c
|
| 3 |
+
size 4943546
|
cluster0_batch16_prop1.0_langfr/checkpoint-35/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:86073360fb0ff7684a05ca56bcca1e6eaed8a5ec6891e20671beea0639bff005
|
| 3 |
+
size 14244
|
cluster0_batch16_prop1.0_langfr/checkpoint-35/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:400690333b498d3c3ea4cd1446f834c1cb37202647b1e68e58a488ea7599ce2b
|
| 3 |
+
size 1064
|
cluster0_batch16_prop1.0_langfr/checkpoint-35/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
cluster0_batch16_prop1.0_langfr/checkpoint-35/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
cluster0_batch16_prop1.0_langfr/checkpoint-35/tokenizer_config.json
ADDED
|
@@ -0,0 +1,140 @@
|
|
|
|
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|
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cluster0_batch16_prop1.0_langfr/checkpoint-35/trainer_state.json
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3eb252840fc75dc98d3cb1e85d3a8e7351debf575b8f1589ca41da0878f65862
|
| 3 |
+
size 5688
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: microsoft/Phi-3-mini-4k-instruct
|
| 3 |
+
library_name: peft
|
| 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 0.14.0
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 16,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 4,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"qkv_proj",
|
| 27 |
+
"o_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6efa5f50f5dab0b2c2ba550107b9c16343237f09ee034a73877f59d2997240d3
|
| 3 |
+
size 9454176
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/optimizer.pt
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:e77da8d49959c5c94038d66e321053ed9c8d086a8032cb0a91951567bc79418c
|
| 3 |
+
size 4943546
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca10339b6612b1ae4d96b4da3c3bbf957eecfba7ced839d11843220d28934edc
|
| 3 |
+
size 14244
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:508975bf672684369596dbff03c4eb314317435fb0ff766ce5fe79877567ad38
|
| 3 |
+
size 1064
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
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|
|
|
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/tokenizer.json
ADDED
|
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cluster0_batch16_prop1.0_langfr/checkpoint-4/tokenizer_config.json
ADDED
|
@@ -0,0 +1,140 @@
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| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
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"add_eos_token": false,
|
| 4 |
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"add_prefix_space": null,
|
| 5 |
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"added_tokens_decoder": {
|
| 6 |
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"0": {
|
| 7 |
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"content": "<unk>",
|
| 8 |
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"lstrip": false,
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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},
|
| 14 |
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|
| 15 |
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"content": "<s>",
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"special": true
|
| 21 |
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},
|
| 22 |
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"2": {
|
| 23 |
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"content": "</s>",
|
| 24 |
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|
| 25 |
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"normalized": false,
|
| 26 |
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"rstrip": true,
|
| 27 |
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|
| 28 |
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"special": false
|
| 29 |
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},
|
| 30 |
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|
| 31 |
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"content": "<|endoftext|>",
|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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"special": true
|
| 37 |
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},
|
| 38 |
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"32001": {
|
| 39 |
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"content": "<|assistant|>",
|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 55 |
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| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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"single_word": false,
|
| 60 |
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"special": true
|
| 61 |
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},
|
| 62 |
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|
| 63 |
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"content": "<|placeholder3|>",
|
| 64 |
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"lstrip": false,
|
| 65 |
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"normalized": false,
|
| 66 |
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"rstrip": true,
|
| 67 |
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"single_word": false,
|
| 68 |
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"special": true
|
| 69 |
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},
|
| 70 |
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"32005": {
|
| 71 |
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"content": "<|placeholder4|>",
|
| 72 |
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"lstrip": false,
|
| 73 |
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"normalized": false,
|
| 74 |
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"rstrip": true,
|
| 75 |
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"single_word": false,
|
| 76 |
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"special": true
|
| 77 |
+
},
|
| 78 |
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"32006": {
|
| 79 |
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"content": "<|system|>",
|
| 80 |
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"lstrip": false,
|
| 81 |
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"normalized": false,
|
| 82 |
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"rstrip": true,
|
| 83 |
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"single_word": false,
|
| 84 |
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"special": true
|
| 85 |
+
},
|
| 86 |
+
"32007": {
|
| 87 |
+
"content": "<|end|>",
|
| 88 |
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"lstrip": false,
|
| 89 |
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"normalized": false,
|
| 90 |
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"rstrip": true,
|
| 91 |
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"single_word": false,
|
| 92 |
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"special": true
|
| 93 |
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},
|
| 94 |
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"32008": {
|
| 95 |
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"content": "<|placeholder5|>",
|
| 96 |
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"lstrip": false,
|
| 97 |
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"normalized": false,
|
| 98 |
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"rstrip": true,
|
| 99 |
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"single_word": false,
|
| 100 |
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"special": true
|
| 101 |
+
},
|
| 102 |
+
"32009": {
|
| 103 |
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"content": "<|placeholder6|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
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"rstrip": true,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"32010": {
|
| 111 |
+
"content": "<|user|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": true,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"32011": {
|
| 119 |
+
"content": "[PAD]",
|
| 120 |
+
"lstrip": false,
|
| 121 |
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"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": true
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"bos_token": "<s>",
|
| 128 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
| 129 |
+
"clean_up_tokenization_spaces": false,
|
| 130 |
+
"eos_token": "<|endoftext|>",
|
| 131 |
+
"extra_special_tokens": {},
|
| 132 |
+
"legacy": false,
|
| 133 |
+
"model_max_length": 4000,
|
| 134 |
+
"pad_token": "[PAD]",
|
| 135 |
+
"padding_side": "right",
|
| 136 |
+
"sp_model_kwargs": {},
|
| 137 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 138 |
+
"unk_token": "<unk>",
|
| 139 |
+
"use_default_system_prompt": false
|
| 140 |
+
}
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/trainer_state.json
ADDED
|
@@ -0,0 +1,48 @@
|
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|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 2.051563024520874,
|
| 3 |
+
"best_model_checkpoint": "./results/cluster0_batch16_prop1.0_langfr/checkpoint-4",
|
| 4 |
+
"epoch": 0.11367673179396093,
|
| 5 |
+
"eval_steps": 4,
|
| 6 |
+
"global_step": 4,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.11367673179396093,
|
| 13 |
+
"grad_norm": 3.1180243492126465,
|
| 14 |
+
"learning_rate": 9.909643486313533e-05,
|
| 15 |
+
"loss": 33.2238,
|
| 16 |
+
"step": 4
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.11367673179396093,
|
| 20 |
+
"eval_loss": 2.051563024520874,
|
| 21 |
+
"eval_runtime": 184.1311,
|
| 22 |
+
"eval_samples_per_second": 5.431,
|
| 23 |
+
"eval_steps_per_second": 2.715,
|
| 24 |
+
"step": 4
|
| 25 |
+
}
|
| 26 |
+
],
|
| 27 |
+
"logging_steps": 4,
|
| 28 |
+
"max_steps": 35,
|
| 29 |
+
"num_input_tokens_seen": 0,
|
| 30 |
+
"num_train_epochs": 1,
|
| 31 |
+
"save_steps": 4,
|
| 32 |
+
"stateful_callbacks": {
|
| 33 |
+
"TrainerControl": {
|
| 34 |
+
"args": {
|
| 35 |
+
"should_epoch_stop": false,
|
| 36 |
+
"should_evaluate": false,
|
| 37 |
+
"should_log": false,
|
| 38 |
+
"should_save": true,
|
| 39 |
+
"should_training_stop": false
|
| 40 |
+
},
|
| 41 |
+
"attributes": {}
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"total_flos": 2.746429743808512e+16,
|
| 45 |
+
"train_batch_size": 16,
|
| 46 |
+
"trial_name": null,
|
| 47 |
+
"trial_params": null
|
| 48 |
+
}
|
cluster0_batch16_prop1.0_langfr/checkpoint-4/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fdb06963de2de72f0870102899c553f1b5406ae487f981fe418f18bbbc037eb7
|
| 3 |
+
size 5688
|
cluster0_batch16_prop1.0_langger/checkpoint-16/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: microsoft/Phi-3-mini-4k-instruct
|
| 3 |
+
library_name: peft
|
| 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 |
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<!-- Provide the basic links for the model. -->
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| 31 |
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- **Repository:** [More Information Needed]
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| 33 |
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- **Paper [optional]:** [More Information Needed]
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| 34 |
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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| 36 |
+
## Uses
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| 37 |
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| 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. -->
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| 39 |
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### Direct Use
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| 41 |
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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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| 43 |
+
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| 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 |
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| 50 |
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[More Information Needed]
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| 51 |
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### Out-of-Scope Use
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| 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]
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| 57 |
+
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| 58 |
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## Bias, Risks, and Limitations
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| 59 |
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|
| 60 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 61 |
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[More Information Needed]
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| 63 |
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### Recommendations
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| 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. -->
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| 67 |
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|
| 68 |
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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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| 69 |
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|
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## How to Get Started with the Model
|
| 71 |
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|
| 72 |
+
Use the code below to get started with the model.
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| 73 |
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| 74 |
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[More Information Needed]
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| 75 |
+
|
| 76 |
+
## Training Details
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| 77 |
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|
| 78 |
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### Training Data
|
| 79 |
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| 80 |
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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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| 81 |
+
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[More Information Needed]
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| 83 |
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|
| 84 |
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### Training Procedure
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| 85 |
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|
| 86 |
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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. -->
|
| 87 |
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#### Preprocessing [optional]
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| 89 |
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| 90 |
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[More Information Needed]
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| 91 |
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|
| 92 |
+
|
| 93 |
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#### Training Hyperparameters
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| 94 |
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|
| 95 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 96 |
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|
| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 100 |
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[More Information Needed]
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| 102 |
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|
| 103 |
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## Evaluation
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| 104 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 106 |
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### Testing Data, Factors & Metrics
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| 108 |
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#### Testing Data
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| 110 |
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|
| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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| 112 |
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[More Information Needed]
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| 114 |
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|
| 115 |
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#### Factors
|
| 116 |
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|
| 117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
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|
| 119 |
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[More Information Needed]
|
| 120 |
+
|
| 121 |
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#### Metrics
|
| 122 |
+
|
| 123 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
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|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
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### Results
|
| 128 |
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|
| 129 |
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[More Information Needed]
|
| 130 |
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|
| 131 |
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#### Summary
|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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## Model Examination [optional]
|
| 136 |
+
|
| 137 |
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<!-- 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 |
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[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
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- PEFT 0.13.2
|
cluster0_batch16_prop1.0_langger/checkpoint-16/adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {
|
| 13 |
+
"loftq_bits": 4,
|
| 14 |
+
"loftq_iter": 1
|
| 15 |
+
},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 4,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"qkv_proj",
|
| 27 |
+
"o_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
cluster0_batch16_prop1.0_langger/checkpoint-16/adapter_model.safetensors
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:c59231d63ea230b4371b83d107e4024d0df899dc7e2f5f0a3a54b87194823604
|
| 3 |
+
size 9454176
|
cluster0_batch16_prop1.0_langger/checkpoint-16/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:4bab7d78f7f7ecbfb56db16ac47ef5688e1d1cd8a694405220e9946b624f277d
|
| 3 |
+
size 4943546
|
cluster0_batch16_prop1.0_langger/checkpoint-16/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72d84618aa0a8898c7eb59de1bf45acaee24f3e8a4aa9caf67cc8f13f2e9ab22
|
| 3 |
+
size 14244
|
cluster0_batch16_prop1.0_langger/checkpoint-16/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:32f4871f67784f13603186a6fc80a15d133b2a9495ce37f243842842041eb18d
|
| 3 |
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size 1064
|