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Venus0100/q-FrozenLake-v1-4x4-noSlippery | Venus0100 | 2024-06-27T12:42:35Z | 0 | 0 | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
]
| reinforcement-learning | 2024-06-27T12:42:32Z | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: FrozenLake-v1-4x4-no_slippery
metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
verified: false
---
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Venus0100/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make(model["env_id"])
```
|
Griffa369/gguf | Griffa369 | 2024-06-27T12:43:37Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T12:43:37Z | Entry not found |
Venus0100/unit2-DeepRLCourse-Taxi | Venus0100 | 2024-06-27T12:44:02Z | 0 | 0 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
]
| reinforcement-learning | 2024-06-27T12:44:00Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: unit2-DeepRLCourse-Taxi
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.52 +/- 2.73
name: mean_reward
verified: false
---
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Venus0100/unit2-DeepRLCourse-Taxi", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make(model["env_id"])
```
|
amirkupeyev/whisper-small-hi | amirkupeyev | 2024-06-27T12:44:55Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T12:44:55Z | Entry not found |
howarudo/paligemma-3b-pt-224-vqa-continue-ft-0 | howarudo | 2024-06-27T15:26:27Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T12:45:10Z | ---
library_name: transformers
tags: []
---
# 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. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **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] |
Amirmarshal/my_awesome_model | Amirmarshal | 2024-06-27T12:46:46Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T12:46:46Z | Entry not found |
Likich/tinyllama-finetune-qualcoding-200 | Likich | 2024-06-27T12:49:18Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T12:46:56Z | ---
library_name: transformers
tags: []
---
# 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. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **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] |
senhorsapo/madara | senhorsapo | 2024-06-27T12:48:04Z | 0 | 0 | null | [
"license:openrail",
"region:us"
]
| null | 2024-06-27T12:47:43Z | ---
license: openrail
---
|
LynnKukunda/detr_finetuned_cppe5 | LynnKukunda | 2024-06-27T12:48:04Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T12:48:04Z | Entry not found |
habulaj/1536539535 | habulaj | 2024-06-27T12:50:36Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T12:50:30Z | Entry not found |
rajparavaah/llama-2-petgpt | rajparavaah | 2024-06-27T12:52:17Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
]
| null | 2024-06-27T12:52:17Z | ---
license: apache-2.0
---
|
lyleokoth/phi3-function-calling-v1 | lyleokoth | 2024-06-27T12:53:18Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/phi-3-mini-4k-instruct-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T12:53:08Z | ---
base_model: unsloth/phi-3-mini-4k-instruct-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
---
# Uploaded model
- **Developed by:** lyleokoth
- **License:** apache-2.0
- **Finetuned from model :** unsloth/phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
egilron/dqn-SpaceInvadersNoFrameskip-v4 | egilron | 2024-06-27T12:53:41Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T12:53:41Z | Entry not found |
Likich/tinyllama-finetune-qualcoding-100 | Likich | 2024-06-27T12:54:24Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T12:54:18Z | ---
library_name: transformers
tags: []
---
# 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. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **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] |
k-tan/gllm_r16_m512_96k_datapoints_2e_adaptors | k-tan | 2024-06-27T12:56:46Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T12:54:28Z | ---
base_model: unsloth/llama-3-8b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---
# Uploaded model
- **Developed by:** k-tan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
newih/korean_comp | newih | 2024-06-27T12:54:55Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T12:54:55Z | Entry not found |
Roamify/llama-3-finetuned-model | Roamify | 2024-06-27T12:55:37Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T12:55:23Z | ---
base_model: unsloth/llama-3-8b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---
# Uploaded model
- **Developed by:** RoamifyRedefined
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
LynnKukunda/detr_finetunned_ocular | LynnKukunda | 2024-07-02T11:40:39Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"conditional_detr",
"object-detection",
"generated_from_trainer",
"dataset:dsi",
"base_model:microsoft/conditional-detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| object-detection | 2024-06-27T12:57:13Z | ---
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
datasets:
- dsi
model-index:
- name: detr_finetunned_ocular
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. -->
# detr_finetunned_ocular
This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the dsi dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0529
- Map: 0.3106
- Map 50: 0.5077
- Map 75: 0.3672
- Map Small: 0.3046
- Map Medium: 0.6881
- Map Large: -1.0
- Mar 1: 0.0994
- Mar 10: 0.3691
- Mar 100: 0.4215
- Mar Small: 0.4155
- Mar Medium: 0.7477
- Mar Large: -1.0
- Map Falciparum Trophozoite: 0.0214
- Mar 100 Falciparum Trophozoite: 0.1656
- Map Wbc: 0.5997
- Mar 100 Wbc: 0.6773
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Falciparum Trophozoite | Mar 100 Falciparum Trophozoite | Map Wbc | Mar 100 Wbc |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:--------------------------:|:------------------------------:|:-------:|:-----------:|
| No log | 1.0 | 86 | 1.6663 | 0.1273 | 0.2547 | 0.1068 | 0.12 | 0.3504 | -1.0 | 0.0547 | 0.2421 | 0.3256 | 0.3213 | 0.6374 | -1.0 | 0.0008 | 0.065 | 0.2537 | 0.5862 |
| No log | 2.0 | 172 | 1.5286 | 0.1796 | 0.3765 | 0.1218 | 0.1738 | 0.4192 | -1.0 | 0.0651 | 0.247 | 0.3015 | 0.3051 | 0.4738 | -1.0 | 0.0012 | 0.0865 | 0.3581 | 0.5165 |
| No log | 3.0 | 258 | 1.3820 | 0.2265 | 0.4343 | 0.2063 | 0.2188 | 0.5554 | -1.0 | 0.0753 | 0.2934 | 0.3347 | 0.3267 | 0.6813 | -1.0 | 0.0016 | 0.0818 | 0.4513 | 0.5876 |
| No log | 4.0 | 344 | 1.3362 | 0.2148 | 0.4433 | 0.1633 | 0.206 | 0.5348 | -1.0 | 0.0719 | 0.2764 | 0.3262 | 0.3193 | 0.6262 | -1.0 | 0.004 | 0.1074 | 0.4256 | 0.5451 |
| No log | 5.0 | 430 | 1.2962 | 0.2558 | 0.4542 | 0.2703 | 0.2493 | 0.5953 | -1.0 | 0.0826 | 0.3145 | 0.3488 | 0.3417 | 0.6897 | -1.0 | 0.0029 | 0.092 | 0.5087 | 0.6055 |
| 1.6845 | 6.0 | 516 | 1.2470 | 0.2723 | 0.4597 | 0.3089 | 0.2662 | 0.6388 | -1.0 | 0.0882 | 0.3285 | 0.3762 | 0.3691 | 0.7234 | -1.0 | 0.0053 | 0.1119 | 0.5393 | 0.6405 |
| 1.6845 | 7.0 | 602 | 1.1917 | 0.2733 | 0.4681 | 0.3094 | 0.2677 | 0.6133 | -1.0 | 0.0882 | 0.3294 | 0.3767 | 0.3709 | 0.7019 | -1.0 | 0.0093 | 0.1204 | 0.5373 | 0.633 |
| 1.6845 | 8.0 | 688 | 1.2070 | 0.271 | 0.4732 | 0.2973 | 0.2641 | 0.6376 | -1.0 | 0.0913 | 0.3372 | 0.3799 | 0.3728 | 0.7112 | -1.0 | 0.0069 | 0.1333 | 0.5352 | 0.6265 |
| 1.6845 | 9.0 | 774 | 1.1872 | 0.2638 | 0.4778 | 0.2601 | 0.2566 | 0.649 | -1.0 | 0.0865 | 0.3286 | 0.3765 | 0.371 | 0.6907 | -1.0 | 0.0076 | 0.1272 | 0.52 | 0.6258 |
| 1.6845 | 10.0 | 860 | 1.1518 | 0.2767 | 0.4774 | 0.3047 | 0.2705 | 0.6371 | -1.0 | 0.0896 | 0.3389 | 0.3838 | 0.3791 | 0.6953 | -1.0 | 0.0067 | 0.1272 | 0.5467 | 0.6403 |
| 1.6845 | 11.0 | 946 | 1.1263 | 0.2846 | 0.4783 | 0.3251 | 0.2783 | 0.658 | -1.0 | 0.0915 | 0.3472 | 0.3884 | 0.3835 | 0.7131 | -1.0 | 0.006 | 0.1217 | 0.5632 | 0.6551 |
| 1.2411 | 12.0 | 1032 | 1.1376 | 0.2879 | 0.4859 | 0.323 | 0.2805 | 0.6685 | -1.0 | 0.0961 | 0.3494 | 0.3925 | 0.3858 | 0.7374 | -1.0 | 0.01 | 0.1266 | 0.5658 | 0.6583 |
| 1.2411 | 13.0 | 1118 | 1.1416 | 0.2834 | 0.4863 | 0.3144 | 0.2777 | 0.6417 | -1.0 | 0.0952 | 0.3447 | 0.3903 | 0.3865 | 0.6888 | -1.0 | 0.0113 | 0.137 | 0.5555 | 0.6436 |
| 1.2411 | 14.0 | 1204 | 1.1278 | 0.276 | 0.4831 | 0.3022 | 0.2711 | 0.6209 | -1.0 | 0.0905 | 0.3392 | 0.3877 | 0.3829 | 0.6879 | -1.0 | 0.0117 | 0.1436 | 0.5403 | 0.6318 |
| 1.2411 | 15.0 | 1290 | 1.1409 | 0.2707 | 0.495 | 0.2817 | 0.264 | 0.6219 | -1.0 | 0.0891 | 0.3353 | 0.3851 | 0.379 | 0.6991 | -1.0 | 0.0137 | 0.1442 | 0.5277 | 0.6261 |
| 1.2411 | 16.0 | 1376 | 1.0948 | 0.2904 | 0.4937 | 0.329 | 0.2846 | 0.6672 | -1.0 | 0.0965 | 0.3524 | 0.4003 | 0.3935 | 0.7346 | -1.0 | 0.0145 | 0.1468 | 0.5662 | 0.6539 |
| 1.2411 | 17.0 | 1462 | 1.1197 | 0.2851 | 0.4952 | 0.3222 | 0.2799 | 0.6439 | -1.0 | 0.0928 | 0.346 | 0.4017 | 0.3969 | 0.7047 | -1.0 | 0.0156 | 0.1554 | 0.5546 | 0.6479 |
| 1.1067 | 18.0 | 1548 | 1.0893 | 0.2967 | 0.4986 | 0.3418 | 0.2901 | 0.6747 | -1.0 | 0.0959 | 0.354 | 0.4052 | 0.3995 | 0.729 | -1.0 | 0.0149 | 0.1483 | 0.5786 | 0.6621 |
| 1.1067 | 19.0 | 1634 | 1.0634 | 0.2982 | 0.4997 | 0.3448 | 0.2918 | 0.6726 | -1.0 | 0.0981 | 0.3605 | 0.4124 | 0.4072 | 0.7271 | -1.0 | 0.0176 | 0.1595 | 0.5789 | 0.6654 |
| 1.1067 | 20.0 | 1720 | 1.0817 | 0.2984 | 0.5033 | 0.3386 | 0.2941 | 0.6425 | -1.0 | 0.0951 | 0.3557 | 0.4077 | 0.4028 | 0.7206 | -1.0 | 0.0172 | 0.1538 | 0.5796 | 0.6617 |
| 1.1067 | 21.0 | 1806 | 1.0688 | 0.3004 | 0.4941 | 0.3493 | 0.2959 | 0.6539 | -1.0 | 0.0979 | 0.3631 | 0.4109 | 0.4075 | 0.7084 | -1.0 | 0.0164 | 0.1534 | 0.5845 | 0.6685 |
| 1.1067 | 22.0 | 1892 | 1.0602 | 0.3052 | 0.5043 | 0.3517 | 0.3006 | 0.6705 | -1.0 | 0.0979 | 0.3651 | 0.4174 | 0.4127 | 0.7271 | -1.0 | 0.0209 | 0.163 | 0.5895 | 0.6719 |
| 1.1067 | 23.0 | 1978 | 1.0534 | 0.3061 | 0.501 | 0.3603 | 0.301 | 0.6674 | -1.0 | 0.0965 | 0.3646 | 0.4157 | 0.4106 | 0.7364 | -1.0 | 0.0199 | 0.1552 | 0.5923 | 0.6762 |
| 1.0314 | 24.0 | 2064 | 1.0490 | 0.3069 | 0.5057 | 0.3602 | 0.3012 | 0.6797 | -1.0 | 0.0983 | 0.3678 | 0.42 | 0.4142 | 0.7439 | -1.0 | 0.0188 | 0.1642 | 0.5951 | 0.6758 |
| 1.0314 | 25.0 | 2150 | 1.0600 | 0.3072 | 0.51 | 0.3643 | 0.3008 | 0.6851 | -1.0 | 0.0976 | 0.3673 | 0.4212 | 0.4157 | 0.7411 | -1.0 | 0.0203 | 0.1658 | 0.594 | 0.6765 |
| 1.0314 | 26.0 | 2236 | 1.0578 | 0.3092 | 0.5073 | 0.3689 | 0.3033 | 0.6886 | -1.0 | 0.099 | 0.3678 | 0.4228 | 0.4172 | 0.743 | -1.0 | 0.0215 | 0.1683 | 0.597 | 0.6773 |
| 1.0314 | 27.0 | 2322 | 1.0551 | 0.3102 | 0.5093 | 0.3679 | 0.3046 | 0.6894 | -1.0 | 0.0993 | 0.3685 | 0.4223 | 0.4162 | 0.7505 | -1.0 | 0.0215 | 0.1667 | 0.599 | 0.6779 |
| 1.0314 | 28.0 | 2408 | 1.0531 | 0.3107 | 0.5105 | 0.369 | 0.305 | 0.6888 | -1.0 | 0.0996 | 0.3685 | 0.4216 | 0.4154 | 0.7495 | -1.0 | 0.0222 | 0.1658 | 0.5992 | 0.6773 |
| 1.0314 | 29.0 | 2494 | 1.0528 | 0.3104 | 0.5077 | 0.3676 | 0.3045 | 0.6868 | -1.0 | 0.0992 | 0.3694 | 0.4211 | 0.4152 | 0.7467 | -1.0 | 0.0214 | 0.165 | 0.5994 | 0.6771 |
| 0.9801 | 30.0 | 2580 | 1.0529 | 0.3106 | 0.5077 | 0.3672 | 0.3046 | 0.6881 | -1.0 | 0.0994 | 0.3691 | 0.4215 | 0.4155 | 0.7477 | -1.0 | 0.0214 | 0.1656 | 0.5997 | 0.6773 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|
styalai/tokenizer1000test | styalai | 2024-06-27T12:59:04Z | 0 | 0 | transformers | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T12:59:04Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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## Model Details
### Model Description
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HarryLHT/trainning_sample | HarryLHT | 2024-06-30T17:48:39Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:00:17Z | Entry not found |
styalai/tokenizer5000 | styalai | 2024-06-27T13:00:33Z | 0 | 0 | transformers | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:00:33Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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## Model Details
### Model Description
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- **Developed by:** [More Information Needed]
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## How to Get Started with the Model
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0starrysky0/textual_inversion_playground1 | 0starrysky0 | 2024-06-27T13:01:22Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:01:22Z | Entry not found |
zsmolnar/Alice.Vision.Models | zsmolnar | 2024-06-27T13:11:10Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:02:08Z | Entry not found |
rajparmar/mistral-7B-v0.3-bf16-sharded-finetuned-tpicap-emails | rajparmar | 2024-06-27T13:13:00Z | 0 | 0 | null | [
"safetensors",
"generated_from_trainer",
"base_model:ybelkada/Mistral-7B-v0.1-bf16-sharded",
"region:us"
]
| null | 2024-06-27T13:02:13Z | ---
base_model: ybelkada/Mistral-7B-v0.1-bf16-sharded
tags:
- generated_from_trainer
model-index:
- name: mistral-7B-v0.3-bf16-sharded-finetuned-tpicap-emails
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. -->
# mistral-7B-v0.3-bf16-sharded-finetuned-tpicap-emails
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sharded](https://huggingface.co/ybelkada/Mistral-7B-v0.1-bf16-sharded) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 200
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0+cu117
- Datasets 2.13.0
- Tokenizers 0.14.1
|
Birgaiyan/Temp | Birgaiyan | 2024-06-27T13:04:37Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:04:13Z | Entry not found |
RymHrizi/med_lora_model | RymHrizi | 2024-06-28T23:06:44Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-2-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:04:23Z | ---
base_model: unsloth/llama-2-7b-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---
# Uploaded model
- **Developed by:** RymHrizi
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
krinal/BertWordPieceTokenizer-hi | krinal | 2024-06-29T06:55:33Z | 0 | 0 | transformers | [
"transformers",
"token-classification",
"hi",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| token-classification | 2024-06-27T13:04:50Z | ---
library_name: transformers
license: apache-2.0
language:
- hi
pipeline_tag: token-classification
---
## Model Details
### BertWordPieceTokenizer
- tokenizer for hindi language
#### Usage
```py
from transformers import AutoTokenizer
hi_tokenizer = AutoTokenizer.from_pretrained('krinal/BertWordPieceTokenizer-hi')
hi_str = "ΰ€ΰ€ ΰ€ΰ€Ύ ΰ€Έΰ₯ΰ€°ΰ₯ΰ€― ΰ€¦ΰ₯ΰ€ΰ₯, ΰ€ΰ€Ώΰ€€ΰ€¨ΰ€Ύ ΰ€ͺΰ₯ΰ€―ΰ€Ύΰ€°ΰ€Ύ, ΰ€ΰ€Ώΰ€€ΰ€¨ΰ€Ύ ΰ€Άΰ₯ΰ€€ΰ€² ΰ€Ήΰ₯"
# encode text
encoded_str = hi_tokenizer.encode(hi_str)
# decode text
decoded_str = hi_tokenizer.decode(encoded_str)
```
#### Language
- hi
#### Training
- For training see [Train BertWordPieceTokenizer](https://gist.github.com/kjdeveloper8/57d9e16848cd77df778804c9e2214a78)
#### Dataset
- trained on BHAAV (hi sentiment analysis dataset)
- dataset source: [Bhaav](https://github.com/midas-research/bhaav)
- Hindi text corpus (20,304 sentences)
#### Citation
```shell
@article{kumar2019bhaav,
title={BHAAV-A Text Corpus for Emotion Analysis from Hindi Stories},
author={Kumar, Yaman and Mahata, Debanjan and Aggarwal, Sagar and Chugh, Anmol and Maheshwari, Rajat and Shah, Rajiv Ratn},
journal={arXiv preprint arXiv:1910.04073},
year={2019}
}
```
|
Likich/tinyllama-finetune-qualcoding-50 | Likich | 2024-06-27T13:05:41Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:05:36Z | ---
library_name: transformers
tags: []
---
# 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. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **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]
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Likich/tinyllama-finetune-qualcoding-20 | Likich | 2024-06-27T13:08:39Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:08:34Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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Xrunner/sdxl-dpo-images | Xrunner | 2024-06-27T13:11:25Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:10:31Z | Entry not found |
Likich/tinyllama-finetune-qualcoding-10 | Likich | 2024-06-27T13:12:08Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:12:04Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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cpLabs/formality_model_bert_ft | cpLabs | 2024-06-27T13:14:06Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:14:06Z | Entry not found |
Likich/tinyllama-finetune-qualcoding-5 | Likich | 2024-06-27T13:15:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:15:30Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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## Model Details
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grvs/seer | grvs | 2024-07-02T10:50:20Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:15:46Z | Entry not found |
Akshaya16/akshaya | Akshaya16 | 2024-06-28T10:41:31Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:17:51Z | Entry not found |
chohtet/qwen2_7b_instruct_lora_45706 | chohtet | 2024-06-27T13:19:27Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"qwen2",
"trl",
"en",
"base_model:unsloth/Qwen2-7B-Instruct-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:19:18Z | ---
base_model: unsloth/Qwen2-7B-Instruct-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
---
# Uploaded model
- **Developed by:** chohtet
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Qwen2-7B-Instruct-bnb-4bit
This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
habulaj/206628298344 | habulaj | 2024-06-27T13:20:23Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:20:20Z | Entry not found |
SaiLochana/content_mod | SaiLochana | 2024-06-28T12:24:25Z | 0 | 0 | null | [
"code",
"text-classification",
"region:us"
]
| text-classification | 2024-06-27T13:20:27Z | ---
metrics:
- code_eval
pipeline_tag: text-classification
tags:
- code
---
***model card :***
---
this is a model which is better at classifying text made by users in any social platform
---
```sh
tags :code : pip install -r requirements.txt |
Edgar404/donut-shivi_960x720_r8 | Edgar404 | 2024-06-27T14:15:16Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:21:38Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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## Model Details
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wanderkid/PDF-Extract-Kit | wanderkid | 2024-06-27T13:27:56Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
]
| null | 2024-06-27T13:23:48Z | ---
license: apache-2.0
---
|
yzk/roberta-classic-sanskrit-iso-base | yzk | 2024-06-27T13:24:57Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"roberta",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| fill-mask | 2024-06-27T13:24:34Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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## Model Details
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styalai/tokenizer-XT-10_000 | styalai | 2024-06-27T13:24:42Z | 0 | 0 | transformers | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:24:42Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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LinxuanPastel/KreekCraftV2 | LinxuanPastel | 2024-06-27T14:19:29Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:24:50Z | Entry not found |
SidXXD/test_demo_1972 | SidXXD | 2024-06-27T13:25:17Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:25:17Z | Entry not found |
K4ro/Recettes_de_cuisine | K4ro | 2024-06-27T13:25:24Z | 0 | 0 | null | [
"license:cc0-1.0",
"region:us"
]
| null | 2024-06-27T13:25:24Z | ---
license: cc0-1.0
---
|
Likich/vicuna-finetune-qualcoding-500no | Likich | 2024-06-27T13:26:18Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:26:08Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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TopperThijs/Llama-3-Picture-Des-Finetuned-5epochs15mlm | TopperThijs | 2024-06-27T14:36:39Z | 0 | 0 | null | [
"tensorboard",
"safetensors",
"region:us"
]
| null | 2024-06-27T13:27:01Z | Entry not found |
Jyothishridhar/Test_cases_generation | Jyothishridhar | 2024-06-27T13:27:03Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:27:03Z | Entry not found |
habulaj/124347113467 | habulaj | 2024-06-27T13:30:41Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:30:15Z | Entry not found |
Likich/vicuna-finetune-qualcoding-200 | Likich | 2024-06-27T13:34:12Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:34:03Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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Edgar404/donut-shivi-cheques_qlora_r8 | Edgar404 | 2024-06-27T17:32:53Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:36:55Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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Joshua4a/InstructionTuning_Llama3-8b | Joshua4a | 2024-06-27T17:08:04Z | 0 | 0 | null | [
"safetensors",
"region:us"
]
| null | 2024-06-27T13:38:50Z | Entry not found |
morturr/flan-t5-base-headlines-text-classification-2024-06-27-seed-42 | morturr | 2024-06-27T13:55:40Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"t5",
"text-classification",
"generated_from_trainer",
"base_model:google/flan-t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
]
| text-classification | 2024-06-27T13:39:51Z | ---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-headlines-text-classification-2024-06-27-seed-42
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. -->
# flan-t5-base-headlines-text-classification-2024-06-27-seed-42
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.39.2
- Pytorch 2.3.1+cu121
- Datasets 2.10.1
- Tokenizers 0.15.2
|
Likich/vicuna-finetune-qualcoding-100 | Likich | 2024-06-27T13:40:26Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:40:18Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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habulaj/76693455395 | habulaj | 2024-06-27T13:45:12Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:45:04Z | Entry not found |
Likich/vicuna-finetune-qualcoding-50 | Likich | 2024-06-27T13:45:30Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:45:19Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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Binaryy/pegasus_findsum2 | Binaryy | 2024-06-27T13:45:32Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:45:32Z | Entry not found |
srbdtwentyfour/mystery-llama-3-8b-v7 | srbdtwentyfour | 2024-06-27T13:48:55Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-3-8b-Instruct-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:48:11Z | ---
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
---
# Uploaded model
- **Developed by:** srbdtwentyfour
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
GAZALA/Mistral-7B-text-to-sql-flash-attention-2-dataeval | GAZALA | 2024-06-27T13:48:30Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:48:30Z | Entry not found |
Flamenco43/nano_cls-9 | Flamenco43 | 2024-06-27T13:51:13Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:51:12Z | Entry not found |
Likich/vicuna-finetune-qualcoding-20 | Likich | 2024-06-27T13:53:12Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:52:58Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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howarudo/paligemma-3b-pt-224-vqa-continue-ft-1 | howarudo | 2024-06-27T16:35:18Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:53:35Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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[More Information Needed]
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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).
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ChoudharyTAlhaArain/web-instrcupixtopix | ChoudharyTAlhaArain | 2024-06-27T13:53:54Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:53:54Z | Entry not found |
habulaj/248701219838 | habulaj | 2024-06-27T13:54:45Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:54:37Z | Entry not found |
drpointbreak/Quantized-Llama-2-7b-chat-finetune | drpointbreak | 2024-06-27T13:56:32Z | 0 | 0 | null | [
"license:mit",
"region:us"
]
| null | 2024-06-27T13:56:32Z | ---
license: mit
---
|
Likich/vicuna-finetune-qualcoding-10 | Likich | 2024-06-27T13:59:00Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T13:58:53Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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fedelino/ponyRealism_v21MainVAE | fedelino | 2024-06-27T14:04:15Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:59:42Z | Entry not found |
utkarshsharma1/peft-starcoder-lora-a100 | utkarshsharma1 | 2024-06-27T13:59:52Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T13:59:52Z | Entry not found |
KlimLe/ML4B-StockPrediction | KlimLe | 2024-06-27T14:10:05Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
]
| null | 2024-06-27T14:08:28Z | ---
license: apache-2.0
---
|
jjjjh/MM-Instruct | jjjjh | 2024-06-28T02:18:57Z | 0 | 1 | null | [
"license:cc-by-4.0",
"region:us"
]
| null | 2024-06-27T14:09:06Z | ---
license: cc-by-4.0
---
|
newih/fantastic_korean | newih | 2024-06-27T14:22:47Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:09:27Z | Entry not found |
whizzzzkid/whizzzzkid_222_2 | whizzzzkid | 2024-06-27T14:12:55Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
]
| text-generation | 2024-06-27T14:10:11Z | Entry not found |
Likich/vicuna-finetune-qualcoding-5 | Likich | 2024-06-27T14:12:15Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:12:05Z | ---
library_name: transformers
tags: []
---
# 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. -->
This is the model card of a π€ transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Hardware Type:** [More Information Needed]
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JaronTHU/Video-CCAM-9B | JaronTHU | 2024-06-28T16:09:39Z | 0 | 0 | null | [
"license:mit",
"region:us"
]
| null | 2024-06-27T14:12:28Z | ---
license: mit
---
## Model Summary
Video-CCAM-9B is a Video-MLLM built on [Yi-1.5-9B-Chat](https://huggingface.co/01-ai/Yi-1.5-9B-Chat) and [SigLIP SO400M](https://huggingface.co/google/siglip-so400m-patch14-384).
## Usage
Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.10οΌ
```
torch==2.1.0
torchvision==0.16.0
transformers==4.40.2
peft==0.10.0
```
## Inference & Evaluation
Please refer to [Video-CCAM](https://github.com/QQ-MM/Video-CCAM) on inference and evaluation.
### Video-MME
|#Frames.|32|96|
|:-:|:-:|:-:|
|w/o subs|50.0|50.6|
|w subs|53.1|54.9|
### MVBench: 60.70 (32 frames)
## Acknowledgement
* [xtuner](https://github.com/InternLM/xtuner): Video-CCAM-9B is trained using the xtuner framework. Thanks for their excellent works!
* [Yi-1.5-9B-Chat](https://huggingface.co/01-ai/Yi-1.5-9B-Chat): Great language models developed by [01.AI](https://www.lingyiwanwu.com/).
* [SigLIP SO400M](https://huggingface.co/google/siglip-so400m-patch14-384): Outstanding vision encoder developed by Google.
## License
The model is licensed under the MIT license. |
Masallah/armaslogs2 | Masallah | 2024-06-27T14:24:30Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:12:30Z | Entry not found |
damnshigu/Hwasa | damnshigu | 2024-06-27T15:16:02Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:13:39Z | Entry not found |
Edgar404/donut-shivi-cheques_8bit_lora_r8 | Edgar404 | 2024-06-27T16:26:27Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:16:36Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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heena2024/lora_model | heena2024 | 2024-06-27T14:19:38Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/phi-3-mini-4k-instruct-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:19:29Z | ---
base_model: unsloth/phi-3-mini-4k-instruct-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
---
# Uploaded model
- **Developed by:** heena2024
- **License:** apache-2.0
- **Finetuned from model :** unsloth/phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
abhayesian/LLama3_HarmBench_LAT_5 | abhayesian | 2024-06-28T15:16:59Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:21:06Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
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[More Information Needed]
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<!-- 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
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[More Information Needed]
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|
styalai/XT-test-0.1 | styalai | 2024-06-27T14:30:15Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:23:02Z | ---
tags:
- model_hub_mixin
- pytorch_model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed] |
Mikerx/Regina | Mikerx | 2024-06-28T22:44:11Z | 0 | 0 | null | [
"license:openrail",
"region:us"
]
| null | 2024-06-27T14:23:04Z | ---
license: openrail
---
|
SillyTilly/gemma-2-27B-it-pytorch-compressed | SillyTilly | 2024-06-27T16:12:29Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:23:29Z | Entry not found |
Litzy619/MIS0626T7F200200 | Litzy619 | 2024-06-27T22:37:04Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:23:52Z | Entry not found |
adrianna-d/Bert_emotions | adrianna-d | 2024-06-27T14:25:31Z | 0 | 0 | null | [
"license:mit",
"region:us"
]
| null | 2024-06-27T14:25:31Z | ---
license: mit
---
|
Likich/gemma-finetune-qualcoding-500no | Likich | 2024-06-27T14:26:01Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:25:51Z | ---
library_name: transformers
tags: []
---
# 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. -->
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- **Developed by:** [More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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jimjiang203/Pixelcopter-PLE-v0 | jimjiang203 | 2024-06-27T14:29:50Z | 0 | 0 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
]
| reinforcement-learning | 2024-06-27T14:29:47Z | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Pixelcopter-PLE-v0
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Pixelcopter-PLE-v0
type: Pixelcopter-PLE-v0
metrics:
- type: mean_reward
value: 22.50 +/- 23.68
name: mean_reward
verified: false
---
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
|
redq8bull/pp | redq8bull | 2024-06-27T14:30:31Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
]
| null | 2024-06-27T14:30:31Z | ---
license: apache-2.0
---
|
rgomes/test1 | rgomes | 2024-06-27T14:33:40Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:33:40Z | Entry not found |
Likich/gemma-finetune-qualcoding-200 | Likich | 2024-06-27T14:35:53Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:35:41Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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## Model Details
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vmatyukh/test345 | vmatyukh | 2024-06-27T14:37:23Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:37:23Z | Entry not found |
mati345678910/787878778 | mati345678910 | 2024-06-27T14:40:05Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
]
| null | 2024-06-27T14:40:05Z | ---
license: apache-2.0
---
|
Kavin1701/whisper-small-llm-lingo-adapters | Kavin1701 | 2024-06-27T19:15:45Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:40:06Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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Mira4World/Ayato_model | Mira4World | 2024-06-27T14:46:20Z | 0 | 0 | adapter-transformers | [
"adapter-transformers",
"music",
"sentence-similarity",
"dataset:HuggingFaceFW/fineweb-edu",
"license:mit",
"region:us"
]
| sentence-similarity | 2024-06-27T14:43:01Z | ---
license: mit
datasets:
- HuggingFaceFW/fineweb-edu
metrics:
- character
library_name: adapter-transformers
pipeline_tag: sentence-similarity
tags:
- music
--- |
Likich/gemma-finetune-qualcoding-100 | Likich | 2024-06-27T14:43:19Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:43:09Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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habulaj/6542348894 | habulaj | 2024-06-27T14:43:50Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:43:37Z | Entry not found |
benburnett/marian-finetuned-kde4-en-to-fr | benburnett | 2024-06-27T14:47:15Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:47:15Z | Entry not found |
Edgar404/donut-shivi_960x720_r16 | Edgar404 | 2024-06-27T17:35:03Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:47:55Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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Likich/gemma-finetune-qualcoding-50 | Likich | 2024-06-27T14:50:00Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
]
| null | 2024-06-27T14:49:52Z | ---
library_name: transformers
tags: []
---
# Model Card for Model ID
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## Model Details
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[More Information Needed]
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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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[More Information Needed]
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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).
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ostris/gi-watermark-remover | ostris | 2024-06-27T14:51:46Z | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
]
| null | 2024-06-27T14:50:53Z | ---
license: apache-2.0
---
|
habulaj/6573649070 | habulaj | 2024-06-27T14:51:13Z | 0 | 0 | null | [
"region:us"
]
| null | 2024-06-27T14:51:07Z | Entry not found |
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