Text Classification
Transformers
TensorBoard
Safetensors
mistral
Generated from Trainer
text-embeddings-inference
Instructions to use xshubhamx/tiny-mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/tiny-mistral with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/tiny-mistral")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/tiny-mistral") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/tiny-mistral", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- training_checkpoints/checkpoint-2572/config.json +63 -0
- training_checkpoints/checkpoint-2572/model.safetensors +3 -0
- training_checkpoints/checkpoint-2572/optimizer.pt +3 -0
- training_checkpoints/checkpoint-2572/rng_state.pth +3 -0
- training_checkpoints/checkpoint-2572/scheduler.pt +3 -0
- training_checkpoints/checkpoint-2572/trainer_state.json +144 -0
- training_checkpoints/checkpoint-2572/training_args.bin +3 -0
training_checkpoints/checkpoint-2572/config.json
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{
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"_name_or_path": "openaccess-ai-collective/tiny-mistral",
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"architectures": [
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"MistralForSequenceClassification"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"dropout_p": 0.1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 512,
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"id2label": {
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"0": "Issue",
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"1": "Court Discourse",
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"2": "Conclusion",
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"3": "Precedent Analysis",
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"4": "Section Analysis",
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"5": "Argument by Petitioner",
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"6": "Fact",
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"7": "Argument by Respondent",
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"8": "Ratio",
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"9": "Appellant",
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"10": "Respondent",
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"11": "Argument by Appellant",
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"12": "Petitioner",
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"13": "Judge",
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"14": "Argument by Defendant"
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},
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"label2id": {
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"Appellant": 9,
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"Argument by Appellant": 11,
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"Argument by Defendant": 14,
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"Argument by Petitioner": 5,
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"Argument by Respondent": 7,
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"Conclusion": 2,
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"Court Discourse": 1,
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"Fact": 6,
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"Issue": 0,
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"Judge": 13,
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"Petitioner": 12,
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"Precedent Analysis": 3,
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"Ratio": 8,
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"Respondent": 10,
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"Section Analysis": 4
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},
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 16,
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"num_hidden_layers": 8,
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"num_key_value_heads": 4,
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"pad_token_id": 32000,
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"problem_type": "single_label_classification",
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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"use_cache": true,
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"vocab_size": 32001
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}
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training_checkpoints/checkpoint-2572/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:94811908c88cbb636581d032714c40108e602a47e2451fe8eca7080d870de80c
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size 791226496
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training_checkpoints/checkpoint-2572/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:61f29069d06af48e0309cdd39e32f59786b34ab0c49ecfeae8bb6536bad7be75
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size 1582499834
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training_checkpoints/checkpoint-2572/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:36eb3c91b3077080e254ba8fd9a96b4afe9cf22aec04441fdc41ff8bc2a91d56
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size 14244
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training_checkpoints/checkpoint-2572/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:78694bef9f24d317caa38c4879ced8607d309c843ff115a6667e58251857ccff
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size 1064
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training_checkpoints/checkpoint-2572/trainer_state.json
ADDED
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{
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| 2 |
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"best_metric": 0.6012751387344262,
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| 3 |
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"best_model_checkpoint": "tiny-mistral/checkpoint-1929",
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| 4 |
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"epoch": 4.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 2572,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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"is_world_process_zero": true,
|
| 10 |
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"log_history": [
|
| 11 |
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{
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"epoch": 0.78,
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"loss": 1.4479,
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"step": 500
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},
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{
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"epoch": 1.0,
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"eval_loss": 1.118202805519104,
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"eval_macro_sensitivity": 0.4743680961365506,
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"eval_macro_specificity": 0.9731278674075015,
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"eval_precision": 0.6258370043663808,
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"eval_precision_macro": 0.4712458606651466,
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"eval_recall": 0.6498838109992254,
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"eval_recall_macro": 0.4743680961365506,
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"eval_runtime": 52.8829,
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"eval_samples_per_second": 24.412,
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"eval_steps_per_second": 3.063,
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"eval_weighted_fpr": 0.03705525495982948,
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"step": 643
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},
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| 40 |
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{
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"epoch": 1.56,
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"step": 1000
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},
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{
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"epoch": 2.0,
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"eval_accuracy": 0.6986831913245546,
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"eval_precision": 0.7196764053623382,
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"eval_runtime": 93.8123,
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},
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{
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"step": 1500
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},
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{
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"epoch": 3.0,
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"eval_runtime": 96.7771,
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{
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},
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{
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"eval_runtime": 94.9154,
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"step": 2572
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}
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| 134 |
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],
|
| 135 |
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"logging_steps": 500,
|
| 136 |
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"max_steps": 9645,
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| 137 |
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"num_input_tokens_seen": 0,
|
| 138 |
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"num_train_epochs": 15,
|
| 139 |
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"save_steps": 500,
|
| 140 |
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"total_flos": 1.1454088696823808e+16,
|
| 141 |
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"train_batch_size": 8,
|
| 142 |
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"trial_name": null,
|
| 143 |
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"trial_params": null
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| 144 |
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}
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training_checkpoints/checkpoint-2572/training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:ae13135576265f1180bcf8daa3dbfb279a0746197d617e38954842ee54fec7e1
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| 3 |
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size 4920
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