Instructions to use dfdfdgghh677/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dfdfdgghh677/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dfdfdgghh677/MyAwesomeModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dfdfdgghh677/MyAwesomeModel") model = AutoModel.from_pretrained("dfdfdgghh677/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "selected": { | |
| "checkpoint": "step_1000", | |
| "step": 1000, | |
| "overall_score": 0.71, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.55, | |
| "code_generation": 0.65, | |
| "text_classification": 0.828, | |
| "sentiment_analysis": 0.792, | |
| "question_answering": 0.607, | |
| "logical_reasoning": 0.819, | |
| "common_sense": 0.736, | |
| "reading_comprehension": 0.7, | |
| "dialogue_generation": 0.644, | |
| "summarization": 0.767, | |
| "translation": 0.804, | |
| "knowledge_retrieval": 0.676, | |
| "creative_writing": 0.61, | |
| "instruction_following": 0.758, | |
| "safety_evaluation": 0.739 | |
| } | |
| }, | |
| "all_checkpoints": [ | |
| { | |
| "checkpoint": "step_100", | |
| "step": 100, | |
| "overall_score": 0.48, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.345, | |
| "code_generation": 0.35, | |
| "text_classification": 0.517, | |
| "sentiment_analysis": 0.617, | |
| "question_answering": 0.475, | |
| "logical_reasoning": 0.319, | |
| "common_sense": 0.53, | |
| "reading_comprehension": 0.475, | |
| "dialogue_generation": 0.438, | |
| "summarization": 0.517, | |
| "translation": 0.64, | |
| "knowledge_retrieval": 0.529, | |
| "creative_writing": 0.328, | |
| "instruction_following": 0.55, | |
| "safety_evaluation": 0.628 | |
| } | |
| }, | |
| { | |
| "checkpoint": "step_200", | |
| "step": 200, | |
| "overall_score": 0.535, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.383, | |
| "code_generation": 0.421, | |
| "text_classification": 0.603, | |
| "sentiment_analysis": 0.675, | |
| "question_answering": 0.51, | |
| "logical_reasoning": 0.375, | |
| "common_sense": 0.583, | |
| "reading_comprehension": 0.529, | |
| "dialogue_generation": 0.493, | |
| "summarization": 0.6, | |
| "translation": 0.7, | |
| "knowledge_retrieval": 0.57, | |
| "creative_writing": 0.388, | |
| "instruction_following": 0.61, | |
| "safety_evaluation": 0.65 | |
| } | |
| }, | |
| { | |
| "checkpoint": "step_300", | |
| "step": 300, | |
| "overall_score": 0.576, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.415, | |
| "code_generation": 0.475, | |
| "text_classification": 0.667, | |
| "sentiment_analysis": 0.71, | |
| "question_answering": 0.533, | |
| "logical_reasoning": 0.445, | |
| "common_sense": 0.621, | |
| "reading_comprehension": 0.569, | |
| "dialogue_generation": 0.53, | |
| "summarization": 0.65, | |
| "translation": 0.733, | |
| "knowledge_retrieval": 0.596, | |
| "creative_writing": 0.436, | |
| "instruction_following": 0.65, | |
| "safety_evaluation": 0.668 | |
| } | |
| }, | |
| { | |
| "checkpoint": "step_400", | |
| "step": 400, | |
| "overall_score": 0.608, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.443, | |
| "code_generation": 0.517, | |
| "text_classification": 0.714, | |
| "sentiment_analysis": 0.733, | |
| "question_answering": 0.55, | |
| "logical_reasoning": 0.525, | |
| "common_sense": 0.65, | |
| "reading_comprehension": 0.6, | |
| "dialogue_generation": 0.557, | |
| "summarization": 0.683, | |
| "translation": 0.755, | |
| "knowledge_retrieval": 0.615, | |
| "creative_writing": 0.475, | |
| "instruction_following": 0.679, | |
| "safety_evaluation": 0.683 | |
| } | |
| }, | |
| { | |
| "checkpoint": "step_500", | |
| "step": 500, | |
| "overall_score": 0.635, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.467, | |
| "code_generation": 0.55, | |
| "text_classification": 0.75, | |
| "sentiment_analysis": 0.75, | |
| "question_answering": 0.564, | |
| "logical_reasoning": 0.605, | |
| "common_sense": 0.672, | |
| "reading_comprehension": 0.625, | |
| "dialogue_generation": 0.579, | |
| "summarization": 0.707, | |
| "translation": 0.769, | |
| "knowledge_retrieval": 0.631, | |
| "creative_writing": 0.507, | |
| "instruction_following": 0.7, | |
| "safety_evaluation": 0.696 | |
| } | |
| }, | |
| { | |
| "checkpoint": "step_600", | |
| "step": 600, | |
| "overall_score": 0.656, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.487, | |
| "code_generation": 0.577, | |
| "text_classification": 0.776, | |
| "sentiment_analysis": 0.762, | |
| "question_answering": 0.575, | |
| "logical_reasoning": 0.675, | |
| "common_sense": 0.69, | |
| "reading_comprehension": 0.645, | |
| "dialogue_generation": 0.596, | |
| "summarization": 0.725, | |
| "translation": 0.78, | |
| "knowledge_retrieval": 0.643, | |
| "creative_writing": 0.534, | |
| "instruction_following": 0.717, | |
| "safety_evaluation": 0.707 | |
| } | |
| }, | |
| { | |
| "checkpoint": "step_700", | |
| "step": 700, | |
| "overall_score": 0.674, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.506, | |
| "code_generation": 0.6, | |
| "text_classification": 0.795, | |
| "sentiment_analysis": 0.772, | |
| "question_answering": 0.584, | |
| "logical_reasoning": 0.731, | |
| "common_sense": 0.705, | |
| "reading_comprehension": 0.663, | |
| "dialogue_generation": 0.611, | |
| "summarization": 0.739, | |
| "translation": 0.788, | |
| "knowledge_retrieval": 0.653, | |
| "creative_writing": 0.557, | |
| "instruction_following": 0.73, | |
| "safety_evaluation": 0.717 | |
| } | |
| }, | |
| { | |
| "checkpoint": "step_800", | |
| "step": 800, | |
| "overall_score": 0.689, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.522, | |
| "code_generation": 0.619, | |
| "text_classification": 0.809, | |
| "sentiment_analysis": 0.78, | |
| "question_answering": 0.593, | |
| "logical_reasoning": 0.773, | |
| "common_sense": 0.717, | |
| "reading_comprehension": 0.677, | |
| "dialogue_generation": 0.624, | |
| "summarization": 0.75, | |
| "translation": 0.795, | |
| "knowledge_retrieval": 0.662, | |
| "creative_writing": 0.577, | |
| "instruction_following": 0.741, | |
| "safety_evaluation": 0.725 | |
| } | |
| }, | |
| { | |
| "checkpoint": "step_900", | |
| "step": 900, | |
| "overall_score": 0.7, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.537, | |
| "code_generation": 0.636, | |
| "text_classification": 0.82, | |
| "sentiment_analysis": 0.786, | |
| "question_answering": 0.6, | |
| "logical_reasoning": 0.801, | |
| "common_sense": 0.727, | |
| "reading_comprehension": 0.689, | |
| "dialogue_generation": 0.634, | |
| "summarization": 0.759, | |
| "translation": 0.8, | |
| "knowledge_retrieval": 0.67, | |
| "creative_writing": 0.595, | |
| "instruction_following": 0.75, | |
| "safety_evaluation": 0.732 | |
| } | |
| }, | |
| { | |
| "checkpoint": "step_1000", | |
| "step": 1000, | |
| "overall_score": 0.71, | |
| "benchmark_scores": { | |
| "math_reasoning": 0.55, | |
| "code_generation": 0.65, | |
| "text_classification": 0.828, | |
| "sentiment_analysis": 0.792, | |
| "question_answering": 0.607, | |
| "logical_reasoning": 0.819, | |
| "common_sense": 0.736, | |
| "reading_comprehension": 0.7, | |
| "dialogue_generation": 0.644, | |
| "summarization": 0.767, | |
| "translation": 0.804, | |
| "knowledge_retrieval": 0.676, | |
| "creative_writing": 0.61, | |
| "instruction_following": 0.758, | |
| "safety_evaluation": 0.739 | |
| } | |
| } | |
| ] | |
| } |