Instructions to use liufe7848/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liufe7848/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="liufe7848/MyAwesomeModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("liufe7848/MyAwesomeModel") model = AutoModel.from_pretrained("liufe7848/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload checkpoint_selection.json with huggingface_hub
Browse files- checkpoint_selection.json +31 -224
checkpoint_selection.json
CHANGED
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{
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"all_checkpoint_results": [
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{
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"benchmark_scores": {
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"code_generation": 0.35,
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"common_sense": 0.53,
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"creative_writing": 0.328,
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"dialogue_generation": 0.438,
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"instruction_following": 0.55,
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"knowledge_retrieval": 0.529,
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"logical_reasoning": 0.319,
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"math_reasoning": 0.345,
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"question_answering": 0.475,
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"reading_comprehension": 0.475,
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"safety_evaluation": 0.628,
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"sentiment_analysis": 0.617,
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"summarization": 0.517,
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"text_classification": 0.517,
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"translation": 0.64
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},
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"checkpoint": "step_100",
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"eval_accuracy": 0.48,
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"step": 100
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},
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{
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"benchmark_scores": {
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"code_generation": 0.421,
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"common_sense": 0.583,
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"creative_writing": 0.388,
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"dialogue_generation": 0.493,
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"instruction_following": 0.61,
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"knowledge_retrieval": 0.57,
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"logical_reasoning": 0.375,
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"math_reasoning": 0.383,
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"question_answering": 0.51,
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"reading_comprehension": 0.529,
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"safety_evaluation": 0.65,
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"sentiment_analysis": 0.675,
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"summarization": 0.6,
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"text_classification": 0.603,
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"translation": 0.7
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},
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"checkpoint": "step_200",
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"eval_accuracy": 0.535,
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"step": 200
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},
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{
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"benchmark_scores": {
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"code_generation": 0.475,
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"common_sense": 0.621,
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"creative_writing": 0.436,
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"dialogue_generation": 0.53,
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"instruction_following": 0.65,
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"knowledge_retrieval": 0.596,
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"logical_reasoning": 0.445,
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"math_reasoning": 0.415,
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"question_answering": 0.533,
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"reading_comprehension": 0.569,
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"safety_evaluation": 0.668,
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"sentiment_analysis": 0.71,
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"summarization": 0.65,
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"text_classification": 0.667,
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"translation": 0.733
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},
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"checkpoint": "step_300",
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"eval_accuracy": 0.576,
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"step": 300
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{
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"benchmark_scores": {
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"code_generation": 0.517,
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"common_sense": 0.65,
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"creative_writing": 0.475,
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"dialogue_generation": 0.557,
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"instruction_following": 0.679,
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"knowledge_retrieval": 0.615,
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"logical_reasoning": 0.525,
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"math_reasoning": 0.443,
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"question_answering": 0.55,
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"reading_comprehension": 0.6,
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"safety_evaluation": 0.683,
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"sentiment_analysis": 0.733,
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"summarization": 0.683,
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"text_classification": 0.714,
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"translation": 0.755
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},
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"checkpoint": "step_400",
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"eval_accuracy": 0.608,
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"benchmark_scores": {
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"code_generation": 0.55,
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"common_sense": 0.672,
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"creative_writing": 0.507,
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"dialogue_generation": 0.579,
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"instruction_following": 0.7,
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"knowledge_retrieval": 0.631,
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"logical_reasoning": 0.605,
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"math_reasoning": 0.467,
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"question_answering": 0.564,
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"reading_comprehension": 0.625,
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"safety_evaluation": 0.696,
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"sentiment_analysis": 0.75,
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"summarization": 0.707,
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"text_classification": 0.75,
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"translation": 0.769
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"checkpoint": "step_500",
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"eval_accuracy": 0.635,
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"benchmark_scores": {
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"code_generation": 0.577,
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"common_sense": 0.69,
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"creative_writing": 0.534,
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"dialogue_generation": 0.596,
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"instruction_following": 0.717,
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"knowledge_retrieval": 0.643,
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"logical_reasoning": 0.675,
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"math_reasoning": 0.487,
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"question_answering": 0.575,
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"reading_comprehension": 0.645,
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"safety_evaluation": 0.707,
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"sentiment_analysis": 0.762,
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"summarization": 0.725,
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"text_classification": 0.776,
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"translation": 0.78
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"checkpoint": "step_600",
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"eval_accuracy": 0.656,
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"benchmark_scores": {
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"code_generation": 0.6,
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"common_sense": 0.705,
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"creative_writing": 0.557,
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"dialogue_generation": 0.611,
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"instruction_following": 0.73,
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"knowledge_retrieval": 0.653,
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"logical_reasoning": 0.731,
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"math_reasoning": 0.506,
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"question_answering": 0.584,
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"reading_comprehension": 0.663,
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"safety_evaluation": 0.717,
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"sentiment_analysis": 0.772,
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"summarization": 0.739,
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"text_classification": 0.795,
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"translation": 0.788
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"checkpoint": "step_700",
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"benchmark_scores": {
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"code_generation": 0.619,
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"common_sense": 0.717,
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"creative_writing": 0.577,
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"dialogue_generation": 0.624,
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"instruction_following": 0.741,
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"knowledge_retrieval": 0.662,
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"logical_reasoning": 0.773,
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"math_reasoning": 0.522,
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"question_answering": 0.593,
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"reading_comprehension": 0.677,
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"safety_evaluation": 0.725,
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"sentiment_analysis": 0.78,
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"summarization": 0.75,
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"text_classification": 0.809,
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"translation": 0.795
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"checkpoint": "step_800",
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"eval_accuracy": 0.689,
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"benchmark_scores": {
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"code_generation": 0.636,
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"common_sense": 0.727,
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"creative_writing": 0.595,
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"dialogue_generation": 0.634,
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"instruction_following": 0.75,
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"knowledge_retrieval": 0.67,
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"logical_reasoning": 0.801,
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"math_reasoning": 0.537,
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"question_answering": 0.6,
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"reading_comprehension": 0.689,
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"safety_evaluation": 0.732,
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"sentiment_analysis": 0.786,
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"summarization": 0.759,
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"text_classification": 0.82,
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"translation": 0.8
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},
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"checkpoint": "step_900",
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"eval_accuracy": 0.7,
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},
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"benchmark_scores": {
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"code_generation": 0.65,
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"common_sense": 0.736,
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"creative_writing": 0.61,
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"dialogue_generation": 0.644,
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"instruction_following": 0.758,
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"knowledge_retrieval": 0.676,
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"logical_reasoning": 0.819,
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"math_reasoning": 0.55,
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"question_answering": 0.607,
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"reading_comprehension": 0.7,
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"safety_evaluation": 0.739,
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"sentiment_analysis": 0.792,
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"summarization": 0.767,
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"text_classification": 0.828,
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"translation": 0.804
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},
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"checkpoint": "step_1000",
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"eval_accuracy": 0.71,
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"step": 1000
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}
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"selected_checkpoint": "step_1000",
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"selected_checkpoint": "step_1000",
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"selection_method": "comprehensive_evaluation",
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"overall_score": 0.71,
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"scores": {
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"math_reasoning": 0.55,
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"code_generation": 0.65,
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"text_classification": 0.828,
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"sentiment_analysis": 0.792,
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"question_answering": 0.607,
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"logical_reasoning": 0.819,
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"common_sense": 0.736,
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"reading_comprehension": 0.7,
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"dialogue_generation": 0.644,
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"summarization": 0.767,
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"translation": 0.804,
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"knowledge_retrieval": 0.676,
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"creative_writing": 0.61,
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"instruction_following": 0.758,
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"safety_evaluation": 0.739
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},
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"all_checkpoint_scores": {
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"step_100": 0.48,
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"step_200": 0.535,
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"step_300": 0.576,
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"step_400": 0.608,
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"step_500": 0.635,
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"step_600": 0.656,
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"step_700": 0.674,
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"step_800": 0.689,
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"step_900": 0.7,
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"step_1000": 0.71
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}
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}
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