hugodk-sch
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End of training
Browse files- README.md +13 -11
- all_results.json +12 -12
- config.json +3 -1
- eval_results.json +13 -13
README.md
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---
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library_name: peft
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tags:
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- trl
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- dpo
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- alignment-handbook
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- generated_from_trainer
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base_model: NbAiLab/nb-gpt-j-6B-v2
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model-index:
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- name: aftonposten-6b-align-scan
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results: []
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@@ -16,17 +18,17 @@ should probably proofread and complete it, then remove this comment. -->
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# aftonposten-6b-align-scan
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: 0.
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- Rewards/rejected: 0.
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -37.
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- Logps/chosen: -33.
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- Logits/rejected: -2.
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- Logits/chosen: -2.
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## Model description
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---
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library_name: peft
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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base_model: NbAiLab/nb-gpt-j-6B-v2
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datasets:
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- hugodk-sch/aftonposten_title_prefs
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model-index:
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- name: aftonposten-6b-align-scan
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results: []
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# aftonposten-6b-align-scan
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This model is a fine-tuned version of [data/ap-gpt-j-6b-sft-qlora-04-08](https://huggingface.co/data/ap-gpt-j-6b-sft-qlora-04-08) on the hugodk-sch/aftonposten_title_prefs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5772
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- Rewards/chosen: 0.0684
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- Rewards/rejected: 0.0623
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- Rewards/accuracies: 0.5307
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- Rewards/margins: 0.0061
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- Logps/rejected: -37.4276
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- Logps/chosen: -33.9368
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- Logits/rejected: -2.2420
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- Logits/chosen: -2.2469
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## Model description
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all_results.json
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{
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"epoch": 4.0,
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"eval_logits/chosen": -2.
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"eval_logits/rejected": -2.
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"eval_logps/chosen": -
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"eval_logps/rejected": -37.
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"eval_loss": 0.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen":
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"eval_rewards/margins": 0.
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"eval_rewards/rejected":
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"eval_runtime": 145.
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"eval_samples": 343,
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"eval_samples_per_second": 2.
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"eval_steps_per_second": 0.
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"train_loss": 0.20226844080856868,
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"train_runtime": 10768.956,
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"train_samples": 3079,
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{
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"epoch": 4.0,
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"eval_logits/chosen": -2.2468910217285156,
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"eval_logits/rejected": -2.24200439453125,
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"eval_logps/chosen": -33.9367790222168,
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"eval_logps/rejected": -37.42759704589844,
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"eval_loss": 0.577243447303772,
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"eval_rewards/accuracies": 0.5307309031486511,
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"eval_rewards/chosen": 0.06843975186347961,
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"eval_rewards/margins": 0.0061217062175273895,
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"eval_rewards/rejected": 0.06231804937124252,
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"eval_runtime": 145.2917,
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"eval_samples": 343,
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"eval_samples_per_second": 2.361,
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"eval_steps_per_second": 0.296,
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"train_loss": 0.20226844080856868,
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"train_runtime": 10768.956,
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"train_samples": 3079,
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config.json
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"n_layer": 28,
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"n_positions": 2048,
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"quantization_config": {
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"bnb_4bit_compute_dtype": "float16",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": false,
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},
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"tie_word_embeddings": false,
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"tokenizer_class": "GPT2Tokenizer",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 50400
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}
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"n_layer": 28,
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"n_positions": 2048,
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"quantization_config": {
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"_load_in_4bit": true,
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"_load_in_8bit": false,
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"bnb_4bit_compute_dtype": "float16",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": false,
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},
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"tie_word_embeddings": false,
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"tokenizer_class": "GPT2Tokenizer",
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"transformers_version": "4.39.0.dev0",
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"use_cache": true,
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"vocab_size": 50400
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}
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eval_results.json
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{
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-
"epoch":
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"eval_logits/chosen": -2.
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"eval_logits/rejected": -2.
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"eval_logps/chosen": -
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"eval_logps/rejected": -37.
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"eval_loss": 0.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen":
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"eval_rewards/margins": 0.
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"eval_rewards/rejected":
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"eval_runtime": 145.
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"eval_samples": 343,
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"eval_samples_per_second": 2.
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"eval_steps_per_second": 0.
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}
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{
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"epoch": 4.0,
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"eval_logits/chosen": -2.2468910217285156,
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+
"eval_logits/rejected": -2.24200439453125,
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"eval_logps/chosen": -33.9367790222168,
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+
"eval_logps/rejected": -37.42759704589844,
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+
"eval_loss": 0.577243447303772,
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+
"eval_rewards/accuracies": 0.5307309031486511,
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+
"eval_rewards/chosen": 0.06843975186347961,
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+
"eval_rewards/margins": 0.0061217062175273895,
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+
"eval_rewards/rejected": 0.06231804937124252,
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+
"eval_runtime": 145.2917,
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"eval_samples": 343,
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+
"eval_samples_per_second": 2.361,
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+
"eval_steps_per_second": 0.296
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}
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