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VikrantRamesh
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Llama-2-CN

Text Generation
Transformers
TensorBoard
Safetensors
llama
Generated from Trainer
text-generation-inference
Inference Endpoints
4-bit precision
bitsandbytes
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VikrantRamesh commited on
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Files changed (6) hide show
  1. README.md +13 -23
  2. adapter_config.json +3 -2
  3. adapter_model.safetensors +1 -1
  4. runs/Mar17_15-20-21_485a833b00a5/events.out.tfevents.1710688822.485a833b00a5.160.0 +3 -0
  5. runs/Mar17_15-20-21_485a833b00a5/events.out.tfevents.1710692008.485a833b00a5.160.1 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1092
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  ## Model description
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@@ -39,37 +39,27 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - training_steps: 200
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.7967 | 0.22 | 10 | 2.7779 |
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- | 2.5905 | 0.44 | 20 | 2.5530 |
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- | 2.3863 | 0.67 | 30 | 2.4699 |
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- | 2.3334 | 0.89 | 40 | 2.3923 |
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- | 2.313 | 1.11 | 50 | 2.3418 |
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- | 2.0965 | 1.33 | 60 | 2.2902 |
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- | 2.2402 | 1.56 | 70 | 2.2599 |
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- | 2.213 | 1.78 | 80 | 2.2329 |
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- | 2.1118 | 2.0 | 90 | 2.2142 |
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- | 2.071 | 2.22 | 100 | 2.1969 |
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- | 2.0024 | 2.44 | 110 | 2.1846 |
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- | 2.0814 | 2.67 | 120 | 2.1692 |
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- | 2.0853 | 2.89 | 130 | 2.1540 |
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- | 1.9573 | 3.11 | 140 | 2.1419 |
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- | 1.9231 | 3.33 | 150 | 2.1358 |
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- | 1.921 | 3.56 | 160 | 2.1240 |
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- | 1.9618 | 3.78 | 170 | 2.1166 |
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- | 2.0817 | 4.0 | 180 | 2.1120 |
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- | 2.0458 | 4.22 | 190 | 2.1102 |
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- | 1.9076 | 4.44 | 200 | 2.1092 |
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  ### Framework versions
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  - Transformers 4.39.0.dev0
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- - Pytorch 2.1.0+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.4423
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - training_steps: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.3431 | 0.03 | 10 | 3.1212 |
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+ | 2.8976 | 0.05 | 20 | 2.7770 |
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+ | 2.6878 | 0.08 | 30 | 2.6526 |
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+ | 2.6344 | 0.1 | 40 | 2.5690 |
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+ | 2.5165 | 0.13 | 50 | 2.5212 |
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+ | 2.5377 | 0.15 | 60 | 2.4917 |
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+ | 2.4577 | 0.18 | 70 | 2.4712 |
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+ | 2.4309 | 0.21 | 80 | 2.4562 |
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+ | 2.3986 | 0.23 | 90 | 2.4465 |
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+ | 2.4445 | 0.26 | 100 | 2.4423 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.39.0.dev0
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+ - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
adapter_config.json CHANGED
@@ -6,6 +6,7 @@
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  "loftq_config": {},
@@ -19,8 +20,8 @@
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  "target_modules": [
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- "q_proj",
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "inference_mode": false,
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  "init_lora_weights": true,
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+ "layer_replication": null,
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  "layers_to_transform": null,
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  "loftq_config": {},
 
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  "rank_pattern": {},
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  "target_modules": [
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+ "v_proj",
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  "task_type": "CAUSAL_LM",
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