sjrhuschlee
commited on
Commit
•
6bb6b05
1
Parent(s):
f4dc3e0
Upload folder using huggingface_hub
Browse files- added_tokens.json +3 -0
- config.json +47 -0
- eval.jsonl +4 -0
- logs.jsonl +4 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- trainer_state.json +466 -0
- training_cfg.json +21 -0
added_tokens.json
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{
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"[MASK]": 128000
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-v3-large",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": "contradiction",
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"1": "no_support",
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"2": "partial_support",
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"3": "full_support"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"contradiction": 0,
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"full_support": 3,
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"no_support": 1,
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"partial_support": 2
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 1024,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.31.0.dev0",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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eval.jsonl
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{"eval_loss": 0.8360257744789124, "eval_accuracy": 0.71900826446281, "eval_matthews_correlation": 0.5055263088346037, "eval_runtime": 5.3991, "eval_samples_per_second": 44.822, "eval_steps_per_second": 2.963, "eval_samples": 242, "eval_set": "osu"}
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{"eval_loss": 0.6920120120048523, "eval_accuracy": 0.8610421836228288, "eval_matthews_correlation": 0.6476113398062635, "eval_runtime": 3.2008, "eval_samples_per_second": 125.907, "eval_steps_per_second": 8.123, "eval_samples": 403, "eval_set": "deepset_hall"}
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{"eval_loss": 1.7084012031555176, "eval_accuracy": 0.7117117117117117, "eval_matthews_correlation": 0.5285613156736579, "eval_runtime": 1.9454, "eval_samples_per_second": 57.059, "eval_steps_per_second": 3.598, "eval_samples": 111, "eval_set": "deepset_flower"}
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{"eval_loss": 1.042230486869812, "eval_accuracy": 0.609, "eval_matthews_correlation": 0.42100205280404024, "eval_runtime": 5.1712, "eval_samples_per_second": 193.38, "eval_steps_per_second": 12.183, "eval_samples": 1000, "eval_set": "anli"}
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logs.jsonl
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{"eval_accuracy": 0.71900826446281, "eval_loss": 0.8360257744789124, "eval_matthews_correlation": 0.5055263088346037, "eval_runtime": 5.3991, "eval_samples_per_second": 44.822, "eval_steps_per_second": 2.963, "step": 0}
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{"eval_accuracy": 0.8610421836228288, "eval_loss": 0.6920120120048523, "eval_matthews_correlation": 0.6476113398062635, "eval_runtime": 3.2008, "eval_samples_per_second": 125.907, "eval_steps_per_second": 8.123, "step": 0}
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{"eval_accuracy": 0.7117117117117117, "eval_loss": 1.7084012031555176, "eval_matthews_correlation": 0.5285613156736579, "eval_runtime": 1.9454, "eval_samples_per_second": 57.059, "eval_steps_per_second": 3.598, "step": 0}
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{"eval_accuracy": 0.609, "eval_loss": 1.042230486869812, "eval_matthews_correlation": 0.42100205280404024, "eval_runtime": 5.1712, "eval_samples_per_second": 193.38, "eval_steps_per_second": 12.183, "step": 0}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:49fb25159a6ed29b438816cacb763de617457c2a74af7a5d7d0ff5a17ebf9ff3
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size 1740399989
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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size 2464616
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"bos_token": "[CLS]",
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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trainer_state.json
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{
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"best_metric": 0.71900826446281,
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"best_model_checkpoint": "models/single_label/deberta-v3-large/exp5/checkpoint-1500",
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"epoch": 0.07913166189678593,
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"global_step": 1500,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.01,
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"learning_rate": 3.1645569620253166e-08,
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"loss": 1.4101,
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"step": 100
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},
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{
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"epoch": 0.01,
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"learning_rate": 6.329113924050633e-08,
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"loss": 1.4037,
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"step": 200
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},
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{
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"epoch": 0.01,
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"eval_osu_accuracy": 0.5289256198347108,
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"eval_osu_loss": 1.3296300172805786,
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"eval_osu_matthews_correlation": 0.08430984949814109,
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"eval_osu_runtime": 4.6863,
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"eval_osu_samples_per_second": 51.64,
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"eval_osu_steps_per_second": 3.414,
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"step": 250
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},
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{
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"epoch": 0.01,
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"eval_deepset_1_accuracy": 0.42016806722689076,
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"eval_deepset_1_matthews_correlation": 0.007340018855649166,
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"eval_deepset_1_runtime": 1.0598,
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"step": 250
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},
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{
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"epoch": 0.01,
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"eval_deepset_2_accuracy": 0.5128205128205128,
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"eval_deepset_2_loss": 1.341286540031433,
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"eval_deepset_2_matthews_correlation": 0.09702062677085851,
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"eval_deepset_2_runtime": 1.5595,
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"eval_deepset_2_samples_per_second": 100.032,
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"eval_deepset_2_steps_per_second": 6.412,
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"step": 250
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},
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{
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"epoch": 0.01,
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"eval_deepset_3_accuracy": 0.5260115606936416,
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"eval_deepset_3_loss": 1.3386189937591553,
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"eval_deepset_3_matthews_correlation": 0.13147932110355937,
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"eval_deepset_3_runtime": 3.0465,
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"eval_deepset_3_samples_per_second": 113.572,
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"eval_deepset_3_steps_per_second": 7.221,
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"step": 250
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},
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{
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"epoch": 0.01,
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"eval_deepset_4_accuracy": 0.46601941747572817,
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"eval_deepset_4_loss": 1.354163646697998,
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"eval_deepset_4_matthews_correlation": 0.04602315745107765,
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"eval_deepset_4_runtime": 1.7129,
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"eval_deepset_4_samples_per_second": 120.262,
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"eval_deepset_4_steps_per_second": 7.589,
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"step": 250
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},
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{
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"epoch": 0.01,
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"eval_anli_accuracy": 0.314,
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"eval_anli_loss": 1.3443490266799927,
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"eval_anli_matthews_correlation": -0.03669996966921473,
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{
|
431 |
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|
432 |
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"eval_deepset_3_accuracy": 0.6676300578034682,
|
433 |
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|
434 |
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|
435 |
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|
436 |
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|
437 |
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"eval_deepset_3_steps_per_second": 7.205,
|
438 |
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"step": 1500
|
439 |
+
},
|
440 |
+
{
|
441 |
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"epoch": 0.08,
|
442 |
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"eval_deepset_4_accuracy": 0.6359223300970874,
|
443 |
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"eval_deepset_4_loss": 1.9390015602111816,
|
444 |
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"eval_deepset_4_matthews_correlation": 0.4108775577859797,
|
445 |
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|
446 |
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"eval_deepset_4_samples_per_second": 119.953,
|
447 |
+
"eval_deepset_4_steps_per_second": 7.57,
|
448 |
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"step": 1500
|
449 |
+
},
|
450 |
+
{
|
451 |
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"epoch": 0.08,
|
452 |
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"eval_anli_accuracy": 0.609,
|
453 |
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"eval_anli_loss": 1.042230486869812,
|
454 |
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"eval_anli_matthews_correlation": 0.42100205280404024,
|
455 |
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"eval_anli_runtime": 5.1501,
|
456 |
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"eval_anli_samples_per_second": 194.17,
|
457 |
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"eval_anli_steps_per_second": 12.233,
|
458 |
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"step": 1500
|
459 |
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}
|
460 |
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],
|
461 |
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"max_steps": 18955,
|
462 |
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"num_train_epochs": 1,
|
463 |
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"total_flos": 2.042867740823347e+16,
|
464 |
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"trial_name": null,
|
465 |
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"trial_params": null
|
466 |
+
}
|
training_cfg.json
ADDED
@@ -0,0 +1,21 @@
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|
1 |
+
{
|
2 |
+
"model_name": "/home/ubuntu/code/llm-eval/models/single_label/deberta-v3-large/exp5/checkpoint-1500",
|
3 |
+
"lr": 3e-07,
|
4 |
+
"epochs": 1,
|
5 |
+
"weight_decay": 0.01,
|
6 |
+
"train_bs": 16,
|
7 |
+
"eval_bs": 16,
|
8 |
+
"gradient_accumulation_steps": 4,
|
9 |
+
"gradient_checkpointing": true,
|
10 |
+
"eval_datasets": [
|
11 |
+
{"path": "./data/all_eval/osu_eval.csv", "name": "osu"},
|
12 |
+
{"path": "./data/all_eval/deepset_hallucination_eval_only_all_agree.csv", "name": "deepset_hall"},
|
13 |
+
{"path": "./data/all_eval/deepset_flower_hallucinations_eval_only_all_agree.csv", "name": "deepset_flower"}
|
14 |
+
],
|
15 |
+
"train_dataset_path": "./data/all_training/all_train_v2.csv",
|
16 |
+
"exclude_datasets": ["nq"],
|
17 |
+
"tf32": true,
|
18 |
+
"bf16": false,
|
19 |
+
"half_precision": true,
|
20 |
+
"optim": "adamw_bnb_8bit"
|
21 |
+
}
|