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Model: TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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base_model: google/gemma-2-2b-it
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tags:
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- rankalign
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- fine-tuned
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---
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# rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1
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Fine-tuned checkpoint from the [rankalign](https://github.com/juand-r/rankalign) project.
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## Training Details
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| Field | Value |
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|-------|-------|
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| Base model | `google/gemma-2-2b-it` |
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| Version | v6 |
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| Task | `hypernym-concat-bananas-to-dogs-double-all` |
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| Epoch | 2 |
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| Delta | 0.15 |
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| Typicality correction | none |
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| Length normalization | False |
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| Preference loss weight | 1 |
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| NLL validator weight | 0 |
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| NLL generator weight | 0 |
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| Validator log-odds | False |
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| Force same-x | True |
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| Semi-supervised ratio | 0.1 |
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| Labeled-only ratio | None |
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## Reproducibility
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**Original checkpoint name:** `v6-google--gemma-2-2b-it-delta0.15-epoch2--hypernym-concat-bananas-to-dogs-double-all--d2g--random--alpha1.0--full-completion--force-same-x--semi0.1`
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To evaluate:
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```bash
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-bananas \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-bazookas \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-cabinets \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-cars \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-chairs \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-crows \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-diapers \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-dogs \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-dolls \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-ducklings \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-elephants \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-guns \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-hammers \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-helmets \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-jackets \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-kayaks \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-kites \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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python scripts/eval_by_claude.py \
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--model TAUR-dev/rankalign-v6-gemma-2-2b-it-d0.15-e2-hc-b2d-dbl-all-fsx-sm0.1 \
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--task hypernym-mirrors \
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--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
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--self-typicality
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```
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36
config.json
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"architectures": [
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"Gemma2ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": 50.0,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"final_logit_softcapping": 30.0,
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"head_dim": 256,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_activation": "gelu_pytorch_tanh",
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"num_hidden_layers": 26,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.2",
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"use_cache": true,
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"vocab_size": 256000
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}
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|
||||
}
|
||||
}
|
||||
34
special_tokens_map.json
Normal file
34
special_tokens_map.json
Normal file
@@ -0,0 +1,34 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<start_of_turn>",
|
||||
"<end_of_turn>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<bos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<eos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
|
||||
size 34362873
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
|
||||
size 4241003
|
||||
2013
tokenizer_config.json
Normal file
2013
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user