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- qwen3-150m-finetune-logs/events.out.tfevents.1757825786.Sai-Legion.23372.4 +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/config.json +45 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/generation_config.json +7 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/model.safetensors +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/optimizer.pt +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/rng_state.pth +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/scheduler.pt +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/special_tokens_map.json +24 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/tokenizer.json +0 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/tokenizer_config.json +76 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/trainer_state.json +424 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1000/training_args.bin +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/config.json +45 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/generation_config.json +7 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/model.safetensors +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/optimizer.pt +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/rng_state.pth +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/scheduler.pt +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/special_tokens_map.json +24 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/tokenizer.json +0 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/tokenizer_config.json +76 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/trainer_state.json +502 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1200/training_args.bin +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/config.json +45 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/generation_config.json +7 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/model.safetensors +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/optimizer.pt +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/rng_state.pth +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/scheduler.pt +3 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/special_tokens_map.json +24 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/tokenizer.json +0 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/tokenizer_config.json +76 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/trainer_state.json +580 -0
- qwen3-150m-finetuned-antonyms/checkpoint-1400/training_args.bin +3 -0
- qwen3-150m-finetuned-coherence/config.json +45 -0
- qwen3-150m-finetuned-coherence/generation_config.json +7 -0
- qwen3-150m-finetuned-coherence/model.safetensors +3 -0
- qwen3-150m-finetuned-coherence/special_tokens_map.json +24 -0
- qwen3-150m-finetuned-coherence/tokenizer.json +0 -0
- qwen3-150m-finetuned-coherence/tokenizer_config.json +76 -0
- qwen3-150m-finetuned-coherence/training_args.bin +3 -0
- qwen3-150m-lora-finetune-logs-antonyms/events.out.tfevents.1757877473.Sai-Legion.21500.15 +3 -0
- qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/README.md +207 -0
- qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/adapter_config.json +39 -0
- qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/adapter_model.safetensors +3 -0
- qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/optimizer.pt +3 -0
- qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/rng_state.pth +3 -0
- qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/scheduler.pt +3 -0
- qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/special_tokens_map.json +24 -0
- qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/tokenizer.json +0 -0
qwen3-150m-finetune-logs/events.out.tfevents.1757825786.Sai-Legion.23372.4
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qwen3-150m-finetuned-antonyms/checkpoint-1000/config.json
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{
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"max_position_embeddings": 2048,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"num_attention_heads": 12,
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qwen3-150m-finetuned-antonyms/checkpoint-1000/generation_config.json
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qwen3-150m-finetuned-antonyms/checkpoint-1000/model.safetensors
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qwen3-150m-finetuned-antonyms/checkpoint-1000/optimizer.pt
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qwen3-150m-finetuned-antonyms/checkpoint-1000/rng_state.pth
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qwen3-150m-finetuned-antonyms/checkpoint-1000/scheduler.pt
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qwen3-150m-finetuned-antonyms/checkpoint-1000/special_tokens_map.json
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qwen3-150m-finetuned-antonyms/checkpoint-1000/tokenizer.json
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qwen3-150m-finetuned-antonyms/checkpoint-1000/tokenizer_config.json
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qwen3-150m-finetuned-antonyms/checkpoint-1000/trainer_state.json
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qwen3-150m-finetuned-antonyms/checkpoint-1200/trainer_state.json
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@@ -0,0 +1,502 @@
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|
| 494 |
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| 495 |
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| 496 |
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| 502 |
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|
qwen3-150m-finetuned-antonyms/checkpoint-1200/training_args.bin
ADDED
|
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| 3 |
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size 5304
|
qwen3-150m-finetuned-antonyms/checkpoint-1400/config.json
ADDED
|
@@ -0,0 +1,45 @@
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|
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|
| 1 |
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|
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|
| 3 |
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|
| 4 |
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|
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|
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|
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|
| 10 |
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|
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|
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|
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|
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
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|
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|
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|
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|
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
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|
| 45 |
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|
qwen3-150m-finetuned-antonyms/checkpoint-1400/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
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|
| 1 |
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| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"transformers_version": "4.55.4"
|
| 7 |
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}
|
qwen3-150m-finetuned-antonyms/checkpoint-1400/model.safetensors
ADDED
|
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| 3 |
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size 551392792
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qwen3-150m-finetuned-antonyms/checkpoint-1400/optimizer.pt
ADDED
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| 3 |
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size 1102868538
|
qwen3-150m-finetuned-antonyms/checkpoint-1400/rng_state.pth
ADDED
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size 14244
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qwen3-150m-finetuned-antonyms/checkpoint-1400/scheduler.pt
ADDED
|
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| 3 |
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size 1064
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qwen3-150m-finetuned-antonyms/checkpoint-1400/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
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|
| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 10 |
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| 11 |
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| 12 |
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|
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|
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|
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|
| 23 |
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|
| 24 |
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|
qwen3-150m-finetuned-antonyms/checkpoint-1400/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
qwen3-150m-finetuned-antonyms/checkpoint-1400/tokenizer_config.json
ADDED
|
@@ -0,0 +1,76 @@
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|
| 26 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 36 |
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|
| 37 |
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| 39 |
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|
| 42 |
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| 44 |
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|
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| 49 |
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|
| 50 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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| 55 |
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|
| 56 |
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|
| 57 |
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"special": true
|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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| 65 |
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|
| 66 |
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| 67 |
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| 68 |
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|
| 69 |
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| 72 |
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|
| 74 |
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| 75 |
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|
| 76 |
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|
qwen3-150m-finetuned-antonyms/checkpoint-1400/trainer_state.json
ADDED
|
@@ -0,0 +1,580 @@
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| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
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"full_attention",
|
| 26 |
+
"full_attention"
|
| 27 |
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],
|
| 28 |
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"max_position_embeddings": 2048,
|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
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|
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|
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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"vocab_size": 32000
|
| 45 |
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}
|
qwen3-150m-finetuned-coherence/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
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| 1 |
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"_from_model_config": true,
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| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"transformers_version": "4.55.4"
|
| 7 |
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|
qwen3-150m-finetuned-coherence/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:7b8f382919990f42c759118cd048ed70d91dfb5c0f7bb5a4fa0f0a5d8af6de2b
|
| 3 |
+
size 551392792
|
qwen3-150m-finetuned-coherence/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
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|
| 1 |
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{
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|
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|
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| 16 |
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|
| 17 |
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| 18 |
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|
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
qwen3-150m-finetuned-coherence/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
qwen3-150m-finetuned-coherence/tokenizer_config.json
ADDED
|
@@ -0,0 +1,76 @@
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|
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|
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|
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|
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"special": true
|
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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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"special": true
|
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},
|
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|
| 60 |
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|
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|
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|
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|
| 64 |
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"single_word": false,
|
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"special": true
|
| 66 |
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|
| 67 |
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|
| 68 |
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|
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"clean_up_tokenization_spaces": false,
|
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"eos_token": "</s>",
|
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|
| 72 |
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"pad_token": "<pad>",
|
| 74 |
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"tokenizer_class": "PreTrainedTokenizerFast",
|
| 75 |
+
"unk_token": "<unk>"
|
| 76 |
+
}
|
qwen3-150m-finetuned-coherence/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:42ce8a14b90abc12d09ad1bff5f1e06a1650b59f2fc92456af0b5aee5b95345d
|
| 3 |
+
size 5304
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qwen3-150m-lora-finetune-logs-antonyms/events.out.tfevents.1757877473.Sai-Legion.21500.15
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b5b1776bb810af8611770ee3158fd19e4764fefd59b74cc1220dc92a35b1c772
|
| 3 |
+
size 58128
|
qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/README.md
ADDED
|
@@ -0,0 +1,207 @@
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|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: c:\Users\vsai2\Documents\LAMA\training\qwen3-150m-multilingual-checkpoints\checkpoint-26000
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:c:\Users\vsai2\Documents\LAMA\training\qwen3-150m-multilingual-checkpoints\checkpoint-26000
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
|
| 141 |
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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|
| 146 |
+
## Environmental Impact
|
| 147 |
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|
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+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
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|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
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|
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+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
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|
| 160 |
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### Model Architecture and Objective
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| 161 |
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[More Information Needed]
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| 163 |
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|
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
|
| 185 |
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| 186 |
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[More Information Needed]
|
| 187 |
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|
| 188 |
+
## Glossary [optional]
|
| 189 |
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|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 191 |
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[More Information Needed]
|
| 193 |
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|
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## More Information [optional]
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| 195 |
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[More Information Needed]
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| 197 |
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|
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## Model Card Authors [optional]
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| 199 |
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| 200 |
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[More Information Needed]
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| 201 |
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|
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## Model Card Contact
|
| 203 |
+
|
| 204 |
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[More Information Needed]
|
| 205 |
+
### Framework versions
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| 206 |
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|
| 207 |
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- PEFT 0.17.1
|
qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/adapter_config.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
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"base_model_name_or_path": "c:\\Users\\vsai2\\Documents\\LAMA\\training\\qwen3-150m-multilingual-checkpoints\\checkpoint-26000",
|
| 5 |
+
"bias": "none",
|
| 6 |
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"corda_config": null,
|
| 7 |
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"eva_config": null,
|
| 8 |
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"exclude_modules": null,
|
| 9 |
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"fan_in_fan_out": false,
|
| 10 |
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"inference_mode": true,
|
| 11 |
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"init_lora_weights": true,
|
| 12 |
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"layer_replication": null,
|
| 13 |
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"layers_pattern": null,
|
| 14 |
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"layers_to_transform": null,
|
| 15 |
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"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
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"megatron_config": null,
|
| 20 |
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"megatron_core": "megatron.core",
|
| 21 |
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"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
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"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"v_proj",
|
| 29 |
+
"q_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
+
"k_proj"
|
| 32 |
+
],
|
| 33 |
+
"target_parameters": null,
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"trainable_token_indices": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_qalora": false,
|
| 38 |
+
"use_rslora": false
|
| 39 |
+
}
|
qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/adapter_model.safetensors
ADDED
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|
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| 3 |
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size 7090536
|
qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/optimizer.pt
ADDED
|
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qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/rng_state.pth
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size 14244
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qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/scheduler.pt
ADDED
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size 1064
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qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/special_tokens_map.json
ADDED
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@@ -0,0 +1,24 @@
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|
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|
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|
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|
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|
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|
| 23 |
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|
| 24 |
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|
qwen3-150m-lora-finetuned-antonyms/checkpoint-4200/tokenizer.json
ADDED
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