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- custom-tokenizer/full-finetuning/LLaMmlein_120M/config.json +30 -0
- custom-tokenizer/full-finetuning/LLaMmlein_120M/generation_config.json +6 -0
- custom-tokenizer/full-finetuning/LLaMmlein_120M/model.safetensors +3 -0
- custom-tokenizer/full-finetuning/LLaMmlein_120M/optimizer.pt +3 -0
- custom-tokenizer/full-finetuning/LLaMmlein_120M/rng_state.pth +3 -0
- custom-tokenizer/full-finetuning/LLaMmlein_120M/scheduler.pt +3 -0
- custom-tokenizer/full-finetuning/LLaMmlein_120M/trainer_state.json +1338 -0
- custom-tokenizer/full-finetuning/LLaMmlein_120M/training_args.bin +3 -0
- custom-tokenizer/full-finetuning/german-gpt2/config.json +40 -0
- custom-tokenizer/full-finetuning/german-gpt2/generation_config.json +6 -0
- custom-tokenizer/full-finetuning/german-gpt2/model.safetensors +3 -0
- custom-tokenizer/full-finetuning/german-gpt2/optimizer.pt +3 -0
- custom-tokenizer/full-finetuning/german-gpt2/rng_state.pth +3 -0
- custom-tokenizer/full-finetuning/german-gpt2/scheduler.pt +3 -0
- custom-tokenizer/full-finetuning/german-gpt2/trainer_state.json +1338 -0
- custom-tokenizer/full-finetuning/german-gpt2/training_args.bin +3 -0
- full-finetuning/LLaMmlein_120M/config.json +30 -0
- full-finetuning/LLaMmlein_120M/generation_config.json +6 -0
- full-finetuning/LLaMmlein_120M/model.safetensors +3 -0
- full-finetuning/LLaMmlein_120M/optimizer.pt +3 -0
- full-finetuning/LLaMmlein_120M/rng_state.pth +3 -0
- full-finetuning/LLaMmlein_120M/scheduler.pt +3 -0
- full-finetuning/LLaMmlein_120M/trainer_state.json +1338 -0
- full-finetuning/LLaMmlein_120M/training_args.bin +3 -0
- full-finetuning/german-gpt2/config.json +40 -0
- full-finetuning/german-gpt2/generation_config.json +6 -0
- full-finetuning/german-gpt2/model.safetensors +3 -0
- full-finetuning/german-gpt2/optimizer.pt +3 -0
- full-finetuning/german-gpt2/rng_state.pth +3 -0
- full-finetuning/german-gpt2/scheduler.pt +3 -0
- full-finetuning/german-gpt2/trainer_state.json +1338 -0
- full-finetuning/german-gpt2/training_args.bin +3 -0
- instruct-finetuning/base/LLaMmlein_120M/README.md +202 -0
- instruct-finetuning/base/LLaMmlein_120M/adapter_config.json +35 -0
- instruct-finetuning/base/LLaMmlein_120M/adapter_model.safetensors +3 -0
- instruct-finetuning/base/LLaMmlein_120M/optimizer.pt +3 -0
- instruct-finetuning/base/LLaMmlein_120M/rng_state.pth +3 -0
- instruct-finetuning/base/LLaMmlein_120M/scheduler.pt +3 -0
- instruct-finetuning/base/LLaMmlein_120M/special_tokens_map.json +24 -0
- instruct-finetuning/base/LLaMmlein_120M/tokenizer.json +0 -0
- instruct-finetuning/base/LLaMmlein_120M/tokenizer_config.json +43 -0
- instruct-finetuning/base/LLaMmlein_120M/trainer_state.json +1593 -0
- instruct-finetuning/base/LLaMmlein_120M/training_args.bin +3 -0
- instruct-finetuning/base/german-gpt2/README.md +202 -0
- instruct-finetuning/base/german-gpt2/adapter_config.json +35 -0
- instruct-finetuning/base/german-gpt2/adapter_model.safetensors +3 -0
- instruct-finetuning/base/german-gpt2/added_tokens.json +3 -0
- instruct-finetuning/base/german-gpt2/merges.txt +0 -0
- instruct-finetuning/base/german-gpt2/optimizer.pt +3 -0
- instruct-finetuning/base/german-gpt2/rng_state.pth +3 -0
custom-tokenizer/full-finetuning/LLaMmlein_120M/config.json
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{
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"_name_or_path": "LSX-UniWue/LLaMmlein_120M",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 768,
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"initializer_range": 0.02,
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| 14 |
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"intermediate_size": 2048,
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| 15 |
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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| 23 |
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"rope_scaling": null,
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| 24 |
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"rope_theta": 10000.0,
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| 25 |
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"tie_word_embeddings": false,
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| 26 |
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"torch_dtype": "float32",
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| 27 |
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"transformers_version": "4.47.1",
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| 28 |
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"use_cache": true,
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| 29 |
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"vocab_size": 32000
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| 30 |
+
}
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custom-tokenizer/full-finetuning/LLaMmlein_120M/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.47.1"
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}
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custom-tokenizer/full-finetuning/LLaMmlein_120M/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b0b3044bcc64ac95bdd2658b8d0f9cabeb741f51fc1d99410a052b7d1c7182cb
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size 498687008
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custom-tokenizer/full-finetuning/LLaMmlein_120M/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 997443194
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custom-tokenizer/full-finetuning/LLaMmlein_120M/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14244
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custom-tokenizer/full-finetuning/LLaMmlein_120M/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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custom-tokenizer/full-finetuning/LLaMmlein_120M/trainer_state.json
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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"best_model_checkpoint": "./models/custom-tokenizer/full-finetuning/LLaMmlein_120M/checkpoint-59000",
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| 4 |
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"epoch": 1.0,
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| 5 |
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"eval_steps": 1000,
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| 6 |
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| 7 |
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|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
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"log_history": [
|
| 11 |
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{
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| 12 |
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"epoch": 0.008356313194618534,
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| 13 |
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| 14 |
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| 15 |
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"loss": 4.5691,
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| 16 |
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| 17 |
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},
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| 18 |
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{
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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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{
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| 26 |
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"epoch": 0.016712626389237067,
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| 27 |
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"eval_loss": 4.322763442993164,
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| 28 |
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"eval_runtime": 22.3501,
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| 29 |
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|
| 30 |
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"eval_steps_per_second": 24.966,
|
| 31 |
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"step": 1000
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| 32 |
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| 33 |
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{
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| 34 |
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| 35 |
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| 37 |
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| 38 |
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"step": 1500
|
| 39 |
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|
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "LSX-UniWue/LLaMmlein_120M",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"hidden_act": "silu",
|
| 12 |
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"hidden_size": 768,
|
| 13 |
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|
| 14 |
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"intermediate_size": 2048,
|
| 15 |
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"max_position_embeddings": 2048,
|
| 16 |
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"mlp_bias": false,
|
| 17 |
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"model_type": "llama",
|
| 18 |
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"num_attention_heads": 12,
|
| 19 |
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"num_hidden_layers": 12,
|
| 20 |
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"num_key_value_heads": 4,
|
| 21 |
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"pretraining_tp": 1,
|
| 22 |
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"rms_norm_eps": 1e-05,
|
| 23 |
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"rope_scaling": null,
|
| 24 |
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"rope_theta": 10000.0,
|
| 25 |
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"tie_word_embeddings": false,
|
| 26 |
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"torch_dtype": "float32",
|
| 27 |
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"transformers_version": "4.46.0",
|
| 28 |
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"use_cache": true,
|
| 29 |
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"vocab_size": 32000
|
| 30 |
+
}
|
full-finetuning/LLaMmlein_120M/generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
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|
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| 1 |
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{
|
| 2 |
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"_from_model_config": true,
|
| 3 |
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"bos_token_id": 1,
|
| 4 |
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"eos_token_id": 2,
|
| 5 |
+
"transformers_version": "4.46.0"
|
| 6 |
+
}
|
full-finetuning/LLaMmlein_120M/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 498687008
|
full-finetuning/LLaMmlein_120M/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 997443194
|
full-finetuning/LLaMmlein_120M/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 14244
|
full-finetuning/LLaMmlein_120M/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1064
|
full-finetuning/LLaMmlein_120M/trainer_state.json
ADDED
|
@@ -0,0 +1,1338 @@
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---
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base_model: LSX-UniWue/LLaMmlein_120M
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## 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]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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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 -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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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:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.13.2
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instruct-finetuning/base/LLaMmlein_120M/adapter_config.json
ADDED
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "LSX-UniWue/LLaMmlein_120M",
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"bias": "none",
|
| 6 |
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"fan_in_fan_out": false,
|
| 7 |
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"inference_mode": true,
|
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 4,
|
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"lora_dropout": 0.1,
|
| 15 |
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"megatron_config": null,
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"megatron_core": "megatron.core",
|
| 17 |
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"modules_to_save": null,
|
| 18 |
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"peft_type": "LORA",
|
| 19 |
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"r": 32,
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"rank_pattern": {},
|
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"revision": null,
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"target_modules": [
|
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"up_proj",
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"gate_proj",
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"o_proj",
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"v_proj",
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"q_proj",
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"k_proj",
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"lm_head",
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"down_proj"
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],
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| 32 |
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"task_type": "CAUSAL_LM",
|
| 33 |
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"use_dora": false,
|
| 34 |
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"use_rslora": false
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| 35 |
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}
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instruct-finetuning/base/LLaMmlein_120M/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a839a6e5514599a2a43cc1f29f435b0f9a726019a5cdec1abd0a91a44ef66eb8
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size 123361608
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instruct-finetuning/base/LLaMmlein_120M/optimizer.pt
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:82f506a64c04df6456eb1373f4f11de4e0552f2cd77656720971d58b429541a8
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| 3 |
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size 850871994
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instruct-finetuning/base/LLaMmlein_120M/rng_state.pth
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:e42ccd97e89dcb0ecb4e53ebfd9919fde6e4d4c5c0a12a689387afb57967751d
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| 3 |
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size 14244
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instruct-finetuning/base/LLaMmlein_120M/scheduler.pt
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:0af176d761d71fce3fbce7001f4850782b022af8f40338e8e88b22363a32018f
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| 3 |
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size 1064
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instruct-finetuning/base/LLaMmlein_120M/special_tokens_map.json
ADDED
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@@ -0,0 +1,24 @@
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
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},
|
| 9 |
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"eos_token": {
|
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"content": "</s>",
|
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"lstrip": false,
|
| 12 |
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"normalized": false,
|
| 13 |
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"rstrip": false,
|
| 14 |
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"single_word": false
|
| 15 |
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},
|
| 16 |
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"pad_token": "</s>",
|
| 17 |
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"unk_token": {
|
| 18 |
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"content": "<unk>",
|
| 19 |
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"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
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}
|
| 24 |
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}
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instruct-finetuning/base/LLaMmlein_120M/tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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instruct-finetuning/base/LLaMmlein_120M/tokenizer_config.json
ADDED
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@@ -0,0 +1,43 @@
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{
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| 2 |
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"add_bos_token": true,
|
| 3 |
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"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
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"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
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"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
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"1": {
|
| 15 |
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"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
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"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
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"lstrip": false,
|
| 25 |
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"normalized": false,
|
| 26 |
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"rstrip": false,
|
| 27 |
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"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
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}
|
| 30 |
+
},
|
| 31 |
+
"additional_special_tokens": [],
|
| 32 |
+
"bos_token": "<s>",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
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"legacy": false,
|
| 36 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 37 |
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"pad_token": "</s>",
|
| 38 |
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"padding_side": "left",
|
| 39 |
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"sp_model_kwargs": {},
|
| 40 |
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"tokenizer_class": "LlamaTokenizer",
|
| 41 |
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"unk_token": "<unk>",
|
| 42 |
+
"use_default_system_prompt": true
|
| 43 |
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}
|
instruct-finetuning/base/LLaMmlein_120M/trainer_state.json
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@@ -0,0 +1,1593 @@
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| 1 |
+
---
|
| 2 |
+
base_model: dbmdz/german-gpt2
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
instruct-finetuning/base/german-gpt2/adapter_config.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "dbmdz/german-gpt2",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 4,
|
| 14 |
+
"lora_dropout": 0.1,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 32,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"k_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"v_proj",
|
| 26 |
+
"lm_head",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"q_proj",
|
| 29 |
+
"up_proj",
|
| 30 |
+
"o_proj"
|
| 31 |
+
],
|
| 32 |
+
"task_type": "CAUSAL_LM",
|
| 33 |
+
"use_dora": false,
|
| 34 |
+
"use_rslora": false
|
| 35 |
+
}
|
instruct-finetuning/base/german-gpt2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c02604806e39e6f29920141a48c20f0df2a13c16f1755d10617a733316a23f3
|
| 3 |
+
size 160949880
|
instruct-finetuning/base/german-gpt2/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 50265
|
| 3 |
+
}
|
instruct-finetuning/base/german-gpt2/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
instruct-finetuning/base/german-gpt2/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84356959f433ca56d0418c13cc0eb6e657c4ebac43251dced6e86ba9a281708d
|
| 3 |
+
size 13067612
|
instruct-finetuning/base/german-gpt2/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e862fec9943ccd0a1ec4c4847bbc61f171f1c24a21f76d7a53e951110d236b4
|
| 3 |
+
size 14244
|