Upload folder using huggingface_hub
Browse files- all_results.json +34 -0
- config.json +162 -0
- eval-predictions.csv +127 -0
- eval_instances_normalized_attn_scores.pt +3 -0
- eval_results.json +12 -0
- performance_results.json +4 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- spiece.model +3 -0
- test-predictions-1723596486.csv +0 -0
- test-predictions-1723596487.csv +0 -0
- test-predictions-1723597988.csv +0 -0
- test-predictions-1723597989.csv +0 -0
- test-predictions-1723598445.csv +0 -0
- test-predictions-1723598446.csv +0 -0
- test-predictions-1723598448.csv +127 -0
- test-predictions-1723653099.csv +0 -0
- test-predictions-1723653945.csv +0 -0
- test-predictions-1723654764.csv +0 -0
- test-predictions-1723654765.csv +127 -0
- test-predictions.csv +127 -0
- test_instances_normalized_attn_scores.pt +3 -0
- test_results.json +12 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +14 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
all_results.json
ADDED
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{
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"epoch": 200.0,
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"eval_accuracy": 72.22222222222221,
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"eval_average_metrics": 67.54409066432659,
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"eval_classification_report": "{\"0\": {\"precision\": 0.7777777777777778, \"recall\": 0.717948717948718, \"f1-score\": 0.7466666666666666, \"support\": 39.0}, \"1\": {\"precision\": 0.5, \"recall\": 0.5, \"f1-score\": 0.5, \"support\": 16.0}, \"2\": {\"precision\": 0.47368421052631576, \"recall\": 0.6428571428571429, \"f1-score\": 0.5454545454545454, \"support\": 14.0}, \"3\": {\"precision\": 0.7857142857142857, \"recall\": 0.7333333333333333, \"f1-score\": 0.7586206896551724, \"support\": 15.0}, \"4\": {\"precision\": 1.0, \"recall\": 0.8181818181818182, \"f1-score\": 0.9, \"support\": 11.0}, \"5\": {\"precision\": 0.7692307692307693, \"recall\": 0.8333333333333334, \"f1-score\": 0.8, \"support\": 12.0}, \"6\": {\"precision\": 0.8, \"recall\": 0.8888888888888888, \"f1-score\": 0.8421052631578948, \"support\": 9.0}, \"7\": {\"precision\": 0.8571428571428571, \"recall\": 0.75, \"f1-score\": 0.7999999999999999, \"support\": 8.0}, \"8\": {\"precision\": 1.0, \"recall\": 1.0, \"f1-score\": 1.0, \"support\": 2.0}, \"9\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"10\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"11\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"12\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"micro avg\": {\"precision\": 0.7222222222222222, \"recall\": 0.7222222222222222, \"f1-score\": 0.7222222222222222, \"support\": 126.0}, \"macro avg\": {\"precision\": 0.5356576846455389, \"recall\": 0.5295802488110181, \"f1-score\": 0.5302190126872522, \"support\": 126.0}, \"weighted avg\": {\"precision\": 0.7384011004311756, \"recall\": 0.7222222222222222, \"f1-score\": 0.7271001694413671, \"support\": 126.0}, \"samples avg\": {\"precision\": 0.7222222222222222, \"recall\": 0.7222222222222222, \"f1-score\": 0.7222222222222222, \"support\": 126.0}}",
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"eval_f1_macro": 53.02190126872522,
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"eval_f1_micro": 72.22222222222221,
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"eval_f1_weighted": 72.71001694413671,
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"eval_loss": 0.8714141249656677,
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"eval_runtime": 2.2349,
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"eval_samples_per_second": 56.38,
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"init_mem_cpu_alloc_delta": -90333184,
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"init_mem_gpu_alloc_delta": 891528192,
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"init_mem_gpu_peaked_delta": 0,
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"test_accuracy": 72.22222222222221,
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"test_average_metrics": 67.54409066432659,
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"test_classification_report": "{\"0\": {\"precision\": 0.7777777777777778, \"recall\": 0.717948717948718, \"f1-score\": 0.7466666666666666, \"support\": 39.0}, \"1\": {\"precision\": 0.5, \"recall\": 0.5, \"f1-score\": 0.5, \"support\": 16.0}, \"2\": {\"precision\": 0.47368421052631576, \"recall\": 0.6428571428571429, \"f1-score\": 0.5454545454545454, \"support\": 14.0}, \"3\": {\"precision\": 0.7857142857142857, \"recall\": 0.7333333333333333, \"f1-score\": 0.7586206896551724, \"support\": 15.0}, \"4\": {\"precision\": 1.0, \"recall\": 0.8181818181818182, \"f1-score\": 0.9, \"support\": 11.0}, \"5\": {\"precision\": 0.7692307692307693, \"recall\": 0.8333333333333334, \"f1-score\": 0.8, \"support\": 12.0}, \"6\": {\"precision\": 0.8, \"recall\": 0.8888888888888888, \"f1-score\": 0.8421052631578948, \"support\": 9.0}, \"7\": {\"precision\": 0.8571428571428571, \"recall\": 0.75, \"f1-score\": 0.7999999999999999, \"support\": 8.0}, \"8\": {\"precision\": 1.0, \"recall\": 1.0, \"f1-score\": 1.0, \"support\": 2.0}, \"9\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"10\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"11\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"12\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"micro avg\": {\"precision\": 0.7222222222222222, \"recall\": 0.7222222222222222, \"f1-score\": 0.7222222222222222, \"support\": 126.0}, \"macro avg\": {\"precision\": 0.5356576846455389, \"recall\": 0.5295802488110181, \"f1-score\": 0.5302190126872522, \"support\": 126.0}, \"weighted avg\": {\"precision\": 0.7384011004311756, \"recall\": 0.7222222222222222, \"f1-score\": 0.7271001694413671, \"support\": 126.0}, \"samples avg\": {\"precision\": 0.7222222222222222, \"recall\": 0.7222222222222222, \"f1-score\": 0.7222222222222222, \"support\": 126.0}}",
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"test_f1_macro": 53.02190126872522,
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"test_f1_micro": 72.22222222222221,
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"test_f1_weighted": 72.71001694413671,
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"test_loss": 0.8714141249656677,
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"test_runtime": 1.3348,
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"test_samples_per_second": 94.394,
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"total_time in minutes ": 44.63777916666667,
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"train_mem_cpu_alloc_delta": 387809280,
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"train_mem_cpu_peaked_delta": 27000832,
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"train_mem_gpu_alloc_delta": 40345088,
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"train_mem_gpu_peaked_delta": 9482429440,
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"train_runtime": 2677.6105,
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"train_samples": 497,
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"train_samples_per_second": 1.195
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}
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config.json
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{
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"T5ForConditionalGeneration"
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"12": "LABEL_12"
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"translation_en_to_fr": {
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|
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|
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|
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|
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"prefix": "translate English to Romanian: "
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}
|
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},
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"temperature": 2000,
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"use_cache": true,
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}
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eval-predictions.csv
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,id,text
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60,3,"accusation, question, proposal"
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47,74,"informing statement, proposal, proposal"
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test-predictions-1723653099.csv
ADDED
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|
|
test-predictions-1723653945.csv
ADDED
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|
|
test-predictions-1723654764.csv
ADDED
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|
|
test-predictions-1723654765.csv
ADDED
@@ -0,0 +1,127 @@
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test-predictions.csv
ADDED
@@ -0,0 +1,127 @@
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102,591,"request, informing statement, proposal"
|
109 |
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48,595,"informing statement, proposal, proposal"
|
110 |
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66,600,"informing statement, challenge, proposal"
|
111 |
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41,602,"question, proposal, proposal"
|
112 |
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68,603,"informing statement, proposal, proposal"
|
113 |
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31,606,"informing statement, challenge, proposal"
|
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|
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82,609,"appreciation, informing statement, proposal"
|
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43,617,"challenge, informing statement, proposal"
|
117 |
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73,631,"challenge, proposal, proposal"
|
118 |
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92,642,"informing statement, rejection, proposal"
|
119 |
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8,643,"request, informing statement, proposal"
|
120 |
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44,653,"accusation, informing statement, proposal"
|
121 |
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9,655,"evaluation, accusation, proposal"
|
122 |
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62,657,"accusation, informing statement, proposal"
|
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120,661,"appreciation, challenge, proposal"
|
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|
125 |
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89,664,"informing statement, proposal, proposal"
|
126 |
+
123,665,"informing statement, question, proposal"
|
127 |
+
33,672,"rejection, proposal, proposal"
|
test_instances_normalized_attn_scores.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:0cf18366eb389698056f39a6158bd36abae1b39c77767057ccaca0a3c413cd26
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3 |
+
size 1048
|
test_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 200.0,
|
3 |
+
"test_accuracy": 72.22222222222221,
|
4 |
+
"test_average_metrics": 67.54409066432659,
|
5 |
+
"test_classification_report": "{\"0\": {\"precision\": 0.7777777777777778, \"recall\": 0.717948717948718, \"f1-score\": 0.7466666666666666, \"support\": 39.0}, \"1\": {\"precision\": 0.5, \"recall\": 0.5, \"f1-score\": 0.5, \"support\": 16.0}, \"2\": {\"precision\": 0.47368421052631576, \"recall\": 0.6428571428571429, \"f1-score\": 0.5454545454545454, \"support\": 14.0}, \"3\": {\"precision\": 0.7857142857142857, \"recall\": 0.7333333333333333, \"f1-score\": 0.7586206896551724, \"support\": 15.0}, \"4\": {\"precision\": 1.0, \"recall\": 0.8181818181818182, \"f1-score\": 0.9, \"support\": 11.0}, \"5\": {\"precision\": 0.7692307692307693, \"recall\": 0.8333333333333334, \"f1-score\": 0.8, \"support\": 12.0}, \"6\": {\"precision\": 0.8, \"recall\": 0.8888888888888888, \"f1-score\": 0.8421052631578948, \"support\": 9.0}, \"7\": {\"precision\": 0.8571428571428571, \"recall\": 0.75, \"f1-score\": 0.7999999999999999, \"support\": 8.0}, \"8\": {\"precision\": 1.0, \"recall\": 1.0, \"f1-score\": 1.0, \"support\": 2.0}, \"9\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"10\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"11\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"12\": {\"precision\": 0.0, \"recall\": 0.0, \"f1-score\": 0.0, \"support\": 0.0}, \"micro avg\": {\"precision\": 0.7222222222222222, \"recall\": 0.7222222222222222, \"f1-score\": 0.7222222222222222, \"support\": 126.0}, \"macro avg\": {\"precision\": 0.5356576846455389, \"recall\": 0.5295802488110181, \"f1-score\": 0.5302190126872522, \"support\": 126.0}, \"weighted avg\": {\"precision\": 0.7384011004311756, \"recall\": 0.7222222222222222, \"f1-score\": 0.7271001694413671, \"support\": 126.0}, \"samples avg\": {\"precision\": 0.7222222222222222, \"recall\": 0.7222222222222222, \"f1-score\": 0.7222222222222222, \"support\": 126.0}}",
|
6 |
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"test_f1_macro": 53.02190126872522,
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7 |
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"test_f1_weighted": 72.71001694413671,
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"test_loss": 0.8714141249656677,
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10 |
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"test_runtime": 1.3348,
|
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"test_samples_per_second": 94.394
|
12 |
+
}
|
tokenizer.json
ADDED
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|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 100, "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"], "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "t5-base"}
|
train_results.json
ADDED
@@ -0,0 +1,14 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
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{
|
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|
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|
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|
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|
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|
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|
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"train_mem_cpu_peaked_delta": 27000832,
|
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|
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|
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"train_runtime": 2677.6105,
|
12 |
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"train_samples": 497,
|
13 |
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"train_samples_per_second": 1.195
|
14 |
+
}
|
trainer_state.json
ADDED
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|
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:7cb35263254ca5f7175eef32524afd2474b3efae8d983803aff22a78e613e8bd
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size 3448
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