End of training

README.md

@@ -9,20 +9,20 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: trainer_output
+- name: dinov2-fonts-with-subfonts-3
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# trainer_output
+# dinov2-fonts-with-subfonts-3
 
 This model is a fine-tuned version of [facebook/dinov2-base-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-base-imagenet1k-1-layer) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5159
-- Model Preparation Time: 0.0021
-- Accuracy: 0.8480
+- Loss: 0.2637
+- Model Preparation Time: 0.0016
+- Accuracy: 0.9163
 
 ## Model description
 
@@ -47,10 +47,67 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 0
+- num_epochs: 1
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:----------------------:|:--------:|
+| 0.7099        | 0.0182 | 50   | 0.6595          | 0.0016                 | 0.7594   |
+| 0.7084        | 0.0363 | 100  | 0.6175          | 0.0016                 | 0.7806   |
+| 0.7638        | 0.0545 | 150  | 0.7014          | 0.0016                 | 0.7337   |
+| 0.6451        | 0.0727 | 200  | 0.6177          | 0.0016                 | 0.7757   |
+| 0.6852        | 0.0908 | 250  | 0.5691          | 0.0016                 | 0.7971   |
+| 0.5753        | 0.1090 | 300  | 0.5666          | 0.0016                 | 0.8048   |
+| 0.5925        | 0.1272 | 350  | 0.5235          | 0.0016                 | 0.8204   |
+| 0.6969        | 0.1453 | 400  | 0.5725          | 0.0016                 | 0.7922   |
+| 0.6096        | 0.1635 | 450  | 0.5103          | 0.0016                 | 0.8173   |
+| 0.5994        | 0.1817 | 500  | 0.5075          | 0.0016                 | 0.8183   |
+| 0.5272        | 0.1999 | 550  | 0.5116          | 0.0016                 | 0.8229   |
+| 0.5193        | 0.2180 | 600  | 0.4952          | 0.0016                 | 0.8244   |
+| 0.5689        | 0.2362 | 650  | 0.4662          | 0.0016                 | 0.8388   |
+| 0.5126        | 0.2544 | 700  | 0.4651          | 0.0016                 | 0.8327   |
+| 0.5301        | 0.2725 | 750  | 0.5080          | 0.0016                 | 0.8158   |
+| 0.5424        | 0.2907 | 800  | 0.4573          | 0.0016                 | 0.8357   |
+| 0.4357        | 0.3089 | 850  | 0.4412          | 0.0016                 | 0.8486   |
+| 0.5522        | 0.3270 | 900  | 0.4755          | 0.0016                 | 0.8256   |
+| 0.5639        | 0.3452 | 950  | 0.4463          | 0.0016                 | 0.8339   |
+| 0.4522        | 0.3634 | 1000 | 0.4347          | 0.0016                 | 0.8458   |
+| 0.5548        | 0.3815 | 1050 | 0.4112          | 0.0016                 | 0.8560   |
+| 0.4815        | 0.3997 | 1100 | 0.4300          | 0.0016                 | 0.8514   |
+| 0.5028        | 0.4179 | 1150 | 0.3840          | 0.0016                 | 0.8713   |
+| 0.4417        | 0.4360 | 1200 | 0.4364          | 0.0016                 | 0.8462   |
+| 0.4465        | 0.4542 | 1250 | 0.3731          | 0.0016                 | 0.8740   |
+| 0.3935        | 0.4724 | 1300 | 0.3672          | 0.0016                 | 0.8753   |
+| 0.5306        | 0.4906 | 1350 | 0.4480          | 0.0016                 | 0.8388   |
+| 0.3991        | 0.5087 | 1400 | 0.3718          | 0.0016                 | 0.8698   |
+| 0.483         | 0.5269 | 1450 | 0.3916          | 0.0016                 | 0.8652   |
+| 0.4323        | 0.5451 | 1500 | 0.3948          | 0.0016                 | 0.8648   |
+| 0.3664        | 0.5632 | 1550 | 0.3400          | 0.0016                 | 0.8796   |
+| 0.4941        | 0.5814 | 1600 | 0.3531          | 0.0016                 | 0.8765   |
+| 0.4185        | 0.5996 | 1650 | 0.3481          | 0.0016                 | 0.8820   |
+| 0.4506        | 0.6177 | 1700 | 0.3332          | 0.0016                 | 0.8866   |
+| 0.4015        | 0.6359 | 1750 | 0.3468          | 0.0016                 | 0.8768   |
+| 0.3919        | 0.6541 | 1800 | 0.3421          | 0.0016                 | 0.8897   |
+| 0.4281        | 0.6722 | 1850 | 0.3141          | 0.0016                 | 0.8937   |
+| 0.3659        | 0.6904 | 1900 | 0.3424          | 0.0016                 | 0.8823   |
+| 0.345         | 0.7086 | 1950 | 0.3172          | 0.0016                 | 0.8912   |
+| 0.3157        | 0.7267 | 2000 | 0.3226          | 0.0016                 | 0.8903   |
+| 0.3456        | 0.7449 | 2050 | 0.3178          | 0.0016                 | 0.8909   |
+| 0.3643        | 0.7631 | 2100 | 0.2988          | 0.0016                 | 0.8983   |
+| 0.4043        | 0.7812 | 2150 | 0.3036          | 0.0016                 | 0.8992   |
+| 0.3486        | 0.7994 | 2200 | 0.2974          | 0.0016                 | 0.9053   |
+| 0.3735        | 0.8176 | 2250 | 0.3026          | 0.0016                 | 0.8964   |
+| 0.4032        | 0.8358 | 2300 | 0.2990          | 0.0016                 | 0.9019   |
+| 0.3825        | 0.8539 | 2350 | 0.2938          | 0.0016                 | 0.9062   |
+| 0.345         | 0.8721 | 2400 | 0.2871          | 0.0016                 | 0.9059   |
+| 0.3528        | 0.8903 | 2450 | 0.2777          | 0.0016                 | 0.9093   |
+| 0.3207        | 0.9084 | 2500 | 0.2764          | 0.0016                 | 0.9111   |
+| 0.2664        | 0.9266 | 2550 | 0.2741          | 0.0016                 | 0.9099   |
+| 0.3496        | 0.9448 | 2600 | 0.2720          | 0.0016                 | 0.9151   |
+| 0.3274        | 0.9629 | 2650 | 0.2724          | 0.0016                 | 0.9136   |
+| 0.3014        | 0.9811 | 2700 | 0.2659          | 0.0016                 | 0.9136   |
+| 0.3235        | 0.9993 | 2750 | 0.2637          | 0.0016                 | 0.9163   |
 
 
 ### Framework versions

adapter_config.json

@@ -29,10 +29,10 @@
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   "revision": null,
   "target_modules": [
-    "value",
-    "query"
+    "query",
+    "value"
   ],
-  "task_type": "SEQ_CLS",
+  "task_type": null,
   "trainable_token_indices": null,
   "use_dora": false,
   "use_rslora": false

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result_model/README.md

@@ -0,0 +1,202 @@
+---
+base_model: facebook/dinov2-base-imagenet1k-1-layer
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.15.2

result_model/adapter_config.json

@@ -0,0 +1,39 @@
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+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "Dinov2ForImageClassification",
+    "parent_library": "transformers.models.dinov2.modeling_dinov2"
+  },
+  "base_model_name_or_path": "facebook/dinov2-base-imagenet1k-1-layer",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
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+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier"
+  ],
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value"
+  ],
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

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